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09/07/2023
DropPos: Pre-Training Vision Transformers by Reconstructing Dropped Positions
As it is empirically observed that Vision Transformers (ViTs) are quite ...
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06/04/2023
Using Unreliable Pseudo-Labels for Label-Efficient Semantic Segmentation
The crux of label-efficient semantic segmentation is to produce high-qua...
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06/03/2023
Balancing Logit Variation for Long-tailed Semantic Segmentation
Semantic segmentation usually suffers from a long-tail data distribution...
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05/23/2023
Pulling Target to Source: A New Perspective on Domain Adaptive Semantic Segmentation
Domain adaptive semantic segmentation aims to transfer knowledge from a ...
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04/23/2023
PiClick: Picking the desired mask in click-based interactive segmentation
Click-based interactive segmentation enables productive pixel-level anno...
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04/12/2023
Hard Patches Mining for Masked Image Modeling
Masked image modeling (MIM) has attracted much research attention due to...
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04/04/2023
Towards Open-Vocabulary Video Instance Segmentation
Video Instance Segmentation(VIS) aims at segmenting and categorizing obj...
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12/09/2022
LoopDraw: a Loop-Based Autoregressive Model for Shape Synthesis and Editing
There is no settled universal 3D representation for geometry with many a...
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12/01/2022
Score Jacobian Chaining: Lifting Pretrained 2D Diffusion Models for 3D Generation
A diffusion model learns to predict a vector field of gradients. We prop...
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09/15/2022
Learning from Future: A Novel Self-Training Framework for Semantic Segmentation
Self-training has shown great potential in semi-supervised learning. Its...
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04/20/2022
NFormer: Robust Person Re-identification with Neighbor Transformer
Person re-identification aims to retrieve persons in highly varying sett...
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03/08/2022
Semi-Supervised Semantic Segmentation Using Unreliable Pseudo-Labels
The crux of semi-supervised semantic segmentation is to assign adequate ...
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02/02/2022
Decoupled IoU Regression for Object Detection
Non-maximum suppression (NMS) is widely used in object detection pipelin...
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05/14/2021
Attentional Prototype Inference for Few-Shot Semantic Segmentation
This paper aims to address few-shot semantic segmentation. While existin...
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02/09/2021
SwiftNet: Real-time Video Object Segmentation
In this work we present SwiftNet for real-time semi-supervised video obj...
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04/04/2020
Pixel Consensus Voting for Panoptic Segmentation
The core of our approach, Pixel Consensus Voting, is a framework for ins...
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08/01/2019
