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08/03/2023
Neural Collapse Terminus: A Unified Solution for Class Incremental Learning and Its Variants
How to enable learnability for new classes while keeping the capability ...
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07/23/2023
Iterative Robust Visual Grounding with Masked Reference based Centerpoint Supervision
Visual Grounding (VG) aims at localizing target objects from an image ba...
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07/17/2023
Pair then Relation: Pair-Net for Panoptic Scene Graph Generation
Panoptic Scene Graph (PSG) is a challenging task in Scene Graph Generati...
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06/14/2023
Explore In-Context Learning for 3D Point Cloud Understanding
With the rise of large-scale models trained on broad data, in-context le...
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05/09/2023
Change Detection Methods for Remote Sensing in the Last Decade: A Comprehensive Review
Change detection is an essential and widely utilized task in remote sens...
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04/19/2023
Transformer-Based Visual Segmentation: A Survey
Visual segmentation seeks to partition images, video frames, or point cl...
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03/22/2023
Tube-Link: A Flexible Cross Tube Baseline for Universal Video Segmentation
The goal of video segmentation is to accurately segment and track every ...
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02/06/2023
Neural Collapse Inspired Feature-Classifier Alignment for Few-Shot Class Incremental Learning
Few-shot class-incremental learning (FSCIL) has been a challenging probl...
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01/03/2023
Reference Twice: A Simple and Unified Baseline for Few-Shot Instance Segmentation
Few Shot Instance Segmentation (FSIS) requires models to detect and segm...
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01/03/2023
PanopticPartFormer++: A Unified and Decoupled View for Panoptic Part Segmentation
Panoptic Part Segmentation (PPS) unifies panoptic segmentation and part ...
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01/02/2023
Betrayed by Captions: Joint Caption Grounding and Generation for Open Vocabulary Instance Segmentation
In this work, we focus on instance-level open vocabulary segmentation, i...
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12/16/2022
Convolution-enhanced Evolving Attention Networks
Attention-based neural networks, such as Transformers, have become ubiqu...
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09/20/2022
Towards Robust Referring Image Segmentation
Referring Image Segmentation (RIS) aims to connect image and language vi...
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07/10/2022
SFNet: Faster, Accurate, and Domain Agnostic Semantic Segmentation via Semantic Flow
In this paper, we focus on exploring effective methods for faster, accur...
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06/19/2022
EATFormer: Improving Vision Transformer Inspired by Evolutionary Algorithm
Motivated by biological evolution, this paper explains the rationality o...
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04/10/2022
Video K-Net: A Simple, Strong, and Unified Baseline for Video Segmentation
This paper presents Video K-Net, a simple, strong, and unified framework...
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04/10/2022
Panoptic-PartFormer: Learning a Unified Model for Panoptic Part Segmentation
Panoptic Part Segmentation (PPS) aims to unify panoptic segmentation and...
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04/10/2022
Fashionformer: A simple, Effective and Unified Baseline for Human Fashion Segmentation and Recognition
Human fashion understanding is one important computer vision task since ...
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03/17/2022
Do We Really Need a Learnable Classifier at the End of Deep Neural Network?
Modern deep neural networks for classification usually jointly learn a b...
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01/13/2022
TransVOD: End-to-end Video Object Detection with Spatial-Temporal Transformers
Detection Transformer (DETR) and Deformable DETR have been proposed to e...
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07/28/2021
Improving Video Instance Segmentation via Temporal Pyramid Routing
Video Instance Segmentation (VIS) is a new and inherently multi-task pro...
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07/28/2021
Global Aggregation then Local Distribution for Scene Parsing
Modelling long-range contextual relationships is critical for pixel-wise...
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05/25/2021
BoundarySqueeze: Image Segmentation as Boundary Squeezing
We propose a novel method for fine-grained high-quality image segmentati...
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05/25/2021
Dynamic Dual Sampling Module for Fine-Grained Semantic Segmentation
Representation of semantic context and local details is the essential is...
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05/25/2021
Fast and Accurate Scene Parsing via Bi-direction Alignment Networks
In this paper, we propose an effective method for fast and accurate scen...
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05/23/2021
End-to-End Video Object Detection with Spatial-Temporal Transformers
Recently, DETR and Deformable DETR have been proposed to eliminate the n...
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03/29/2021
Enhanced Boundary Learning for Glass-like Object Segmentation
Glass-like objects such as windows, bottles, and mirrors exist widely in...
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03/11/2021
PointFlow: Flowing Semantics Through Points for Aerial Image Segmentation
Aerial Image Segmentation is a particular semantic segmentation problem ...
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11/06/2020
Towards Efficient Scene Understanding via Squeeze Reasoning
Graph-based convolutional model such as non-local block has shown to be ...
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07/20/2020
Improving Semantic Segmentation via Decoupled Body and Edge Supervision
Existing semantic segmentation approaches either aim to improve the obje...
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02/24/2020
Semantic Flow for Fast and Accurate Scene Parsing
In this paper, we focus on effective methods for fast and accurate scene...
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09/16/2019
Global Aggregation then Local Distribution in Fully Convolutional Networks
It has been widely proven that modelling long-range dependencies in full...
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09/13/2019
Dual Graph Convolutional Network for Semantic Segmentation
Exploiting long-range contextual information is key for pixel-wise predi...
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04/03/2019