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09/18/2023
DFormer: Rethinking RGBD Representation Learning for Semantic Segmentation
We present DFormer, a novel RGB-D pretraining framework to learn transfe...
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09/08/2023
MaskDiffusion: Boosting Text-to-Image Consistency with Conditional Mask
Recent advancements in diffusion models have showcased their impressive ...
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08/10/2023
YOLO-MS: Rethinking Multi-Scale Representation Learning for Real-time Object Detection
We aim at providing the object detection community with an efficient and...
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06/13/2023
Referring Camouflaged Object Detection
In this paper, we consider the problem of referring camouflaged object d...
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06/07/2023
CorrMatch: Label Propagation via Correlation Matching for Semi-Supervised Semantic Segmentation
In this paper, we present a simple but performant semi-supervised semant...
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05/24/2023
Delving Deeper into Data Scaling in Masked Image Modeling
Understanding whether self-supervised learning methods can scale with un...
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04/19/2023
AMT: All-Pairs Multi-Field Transforms for Efficient Frame Interpolation
We present All-Pairs Multi-Field Transforms (AMT), a new network archite...
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03/28/2023
StyleDiffusion: Prompt-Embedding Inversion for Text-Based Editing
A significant research effort is focused on exploiting the amazing capac...
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03/17/2023
SRFormer: Permuted Self-Attention for Single Image Super-Resolution
Previous works have shown that increasing the window size for Transforme...
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03/06/2023
Traffic Scene Parsing through the TSP6K Dataset
Traffic scene parsing is one of the most important tasks to achieve inte...
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01/15/2023
CMAE-V: Contrastive Masked Autoencoders for Video Action Recognition
Contrastive Masked Autoencoder (CMAE), as a new self-supervised framewor...
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12/14/2022
Deep Negative Correlation Classification
Ensemble learning serves as a straightforward way to improve the perform...
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12/10/2022
CamoFormer: Masked Separable Attention for Camouflaged Object Detection
How to identify and segment camouflaged objects from the background is c...
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11/22/2022
Conv2Former: A Simple Transformer-Style ConvNet for Visual Recognition
This paper does not attempt to design a state-of-the-art method for visu...
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07/27/2022
Contrastive Masked Autoencoders are Stronger Vision Learners
Masked image modeling (MIM) has achieved promising results on various vi...
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04/07/2022
L2G: A Simple Local-to-Global Knowledge Transfer Framework for Weakly Supervised Semantic Segmentation
Mining precise class-aware attention maps, a.k.a, class activation maps,...
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06/24/2021
VOLO: Vision Outlooker for Visual Recognition
Visual recognition has been dominated by convolutional neural networks (...
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06/23/2021
Vision Permutator: A Permutable MLP-Like Architecture for Visual Recognition
In this paper, we present Vision Permutator, a conceptually simple and d...
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06/22/2021
LV-BERT: Exploiting Layer Variety for BERT
Modern pre-trained language models are mostly built upon backbones stack...
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04/22/2021
Token Labeling: Training a 85.4 56M Parameters on ImageNet
This paper provides a strong baseline for vision transformers on the Ima...
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03/24/2021
FakeMix Augmentation Improves Transparent Object Detection
Detecting transparent objects in natural scenes is challenging due to th...
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03/22/2021
DeepViT: Towards Deeper Vision Transformer
Vision transformers (ViTs) have been successfully applied in image class...
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03/22/2021
AutoSpace: Neural Architecture Search with Less Human Interference
Current neural architecture search (NAS) algorithms still require expert...
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03/04/2021
Coordinate Attention for Efficient Mobile Network Design
Recent studies on mobile network design have demonstrated the remarkable...
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11/25/2020
Delving Deep into Label Smoothing
Label smoothing is an effective regularization tool for deep neural netw...
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10/06/2020
Rotate to Attend: Convolutional Triplet Attention Module
Benefiting from the capability of building inter-dependencies among chan...
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07/05/2020
Rethinking Bottleneck Structure for Efficient Mobile Network Design
The inverted residual block is dominating architecture design for mobile...
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06/14/2020
Multi-Miner: Object-Adaptive Region Mining for Weakly-Supervised Semantic Segmentation
Object region mining is a critical step for weakly-supervised semantic s...
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04/18/2020
Dynamic Feature Integration for Simultaneous Detection of Salient Object, Edge and Skeleton
In this paper, we solve three low-level pixel-wise vision problems, incl...
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03/30/2020
Strip Pooling: Rethinking Spatial Pooling for Scene Parsing
Spatial pooling has been proven highly effective in capturing long-range...
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03/30/2020
PANDA: Prototypical Unsupervised Domain Adaptation
Previous adversarial domain alignment methods for unsupervised domain ad...
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02/25/2020
Cross-layer Feature Pyramid Network for Salient Object Detection
Feature pyramid network (FPN) based models, which fuse the semantics and...
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07/15/2019
Rethinking RGB-D Salient Object Detection: Models, Datasets, and Large-Scale Benchmarks
The use of RGB-D information for salient object detection has been explo...
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04/21/2019
A Simple Pooling-Based Design for Real-Time Salient Object Detection
We solve the problem of salient object detection by investigating how to...
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10/23/2018
Self-Erasing Network for Integral Object Attention
Recently, adversarial erasing for weakly-supervised object attention has...
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05/19/2018
Optimizing the F-measure for Threshold-free Salient Object Detection
Current CNN-based solutions to salient object detection (SOD) mainly rel...
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03/27/2018
Three Birds One Stone: A Unified Framework for Salient Object Segmentation, Edge Detection and Skeleton Extraction
In this paper, we aim at solving pixel-wise binary problems, including s...
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03/27/2018
WebSeg: Learning Semantic Segmentation from Web Searches
In this paper, we improve semantic segmentation by automatically learnin...
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03/16/2018
Salient Objects in Clutter: Bringing Salient Object Detection to the Foreground
In this paper, we provide a comprehensive evaluation of salient object d...
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11/21/2017
S^4Net: Single Stage Salient-Instance Segmentation
In this paper, we consider an interesting vision problem---salient insta...
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12/06/2016
FLIC: Fast Linear Iterative Clustering with Active Search
Benefiting from its high efficiency and simplicity, Simple Linear Iterat...
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11/15/2016
Deeply supervised salient object detection with short connections
Recent progress on saliency detection is substantial, benefiting mostly ...
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11/18/2014