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01/02/2023
CLIP-Driven Universal Model for Organ Segmentation and Tumor Detection
An increasing number of public datasets have shown a marked clinical imp...
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10/23/2022
1st Place Solution of The Robust Vision Challenge (RVC) 2022 Semantic Segmentation Track
This report describes the winning solution to the semantic segmentation ...
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07/08/2022
k-means Mask Transformer
The rise of transformers in vision tasks not only advances network backb...
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12/16/2021
Masked Feature Prediction for Self-Supervised Visual Pre-Training
We present Masked Feature Prediction (MaskFeat) for self-supervised pre-...
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12/03/2021
MT-TransUNet: Mediating Multi-Task Tokens in Transformers for Skin Lesion Segmentation and Classification
Recent advances in automated skin cancer diagnosis have yielded performa...
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12/02/2021
PartImageNet: A Large, High-Quality Dataset of Parts
A part-based object understanding facilitates efficient compositional le...
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07/12/2021
Locally Enhanced Self-Attention: Rethinking Self-Attention as Local and Context Terms
Self-Attention has become prevalent in computer vision models. Inspired ...
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03/25/2021
CGPart: A Part Segmentation Dataset Based on 3D Computer Graphics Models
Part segmentations provide a rich and detailed part-level description of...
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03/14/2021
TransFG: A Transformer Architecture for Fine-grained Recognition
Fine-grained visual classification (FGVC) which aims at recognizing obje...
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02/22/2021
Understanding Catastrophic Forgetting and Remembering in Continual Learning with Optimal Relevance Mapping
Catastrophic forgetting in neural networks is a significant problem for ...
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12/12/2020
Mask Guided Matting via Progressive Refinement Network
We propose Mask Guided (MG) Matting, a robust matting framework that tak...
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12/01/2020
MaX-DeepLab: End-to-End Panoptic Segmentation with Mask Transformers
We present MaX-DeepLab, the first end-to-end model for panoptic segmenta...
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03/17/2020
Axial-DeepLab: Stand-Alone Axial-Attention for Panoptic Segmentation
Convolution exploits locality for efficiency at a cost of missing long r...
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12/30/2019
Object as Hotspots: An Anchor-Free 3D Object Detection Approach via Firing of Hotspots
Accurate 3D object detection in LiDAR based point clouds suffers from th...
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03/25/2019
Weight Standardization
In this paper, we propose Weight Standardization (WS) to accelerate deep...
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01/03/2019
CLEVR-Ref+: Diagnosing Visual Reasoning with Referring Expressions
Referring object detection and referring image segmentation are importan...
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08/22/2018
Rethinking Monocular Depth Estimation with Adversarial Training
Monocular depth estimation is an extensively studied computer vision pro...
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09/05/2016
UnrealCV: Connecting Computer Vision to Unreal Engine
Computer graphics can not only generate synthetic images and ground trut...
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04/25/2015
Learning like a Child: Fast Novel Visual Concept Learning from Sentence Descriptions of Images
In this paper, we address the task of learning novel visual concepts, an...
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12/20/2014
