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09/02/2023
Domain Generalization via Balancing Training Difficulty and Model Capability
Domain generalization (DG) aims to learn domain-generalizable models fro...
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08/25/2023
Black-box Unsupervised Domain Adaptation with Bi-directional Atkinson-Shiffrin Memory
Black-box unsupervised domain adaptation (UDA) learns with source predic...
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06/29/2023
Prompt Ensemble Self-training for Open-Vocabulary Domain Adaptation
Traditional domain adaptation assumes the same vocabulary across source ...
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04/03/2023
3D Semantic Segmentation in the Wild: Learning Generalized Models for Adverse-Condition Point Clouds
Robust point cloud parsing under all-weather conditions is crucial to le...
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04/03/2023
Vision-Language Models for Vision Tasks: A Survey
Most visual recognition studies rely heavily on crowd-labelled data in d...
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07/30/2022
PolarMix: A General Data Augmentation Technique for LiDAR Point Clouds
LiDAR point clouds, which are usually scanned by rotating LiDAR sensors ...
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07/28/2022
Semantic-Aligned Matching for Enhanced DETR Convergence and Multi-Scale Feature Fusion
The recently proposed DEtection TRansformer (DETR) has established a ful...
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07/26/2022
Contextual Text Block Detection towards Scene Text Understanding
Most existing scene text detectors focus on detecting characters or word...
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07/06/2022
Domain Adaptive Video Segmentation via Temporal Pseudo Supervision
Video semantic segmentation has achieved great progress under the superv...
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06/30/2022
Hierarchical Mask Calibration for Unified Domain Adaptive Panoptic Segmentation
Domain adaptive panoptic segmentation aims to mitigate data annotation c...
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03/18/2022
Unbiased Subclass Regularization for Semi-Supervised Semantic Segmentation
Semi-supervised semantic segmentation learns from small amounts of label...
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02/28/2022
Unsupervised Representation Learning for Point Clouds: A Survey
Point cloud data have been widely explored due to its superior accuracy ...
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10/07/2021
Model Adaptation: Historical Contrastive Learning for Unsupervised Domain Adaptation without Source Data
Unsupervised domain adaptation aims to align a labeled source domain and...
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10/04/2021
GenCo: Generative Co-training on Data-Limited Image Generation
Training effective Generative Adversarial Networks (GANs) requires large...
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07/23/2021
Domain Adaptive Video Segmentation via Temporal Consistency Regularization
Video semantic segmentation is an essential task for the analysis and un...
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07/12/2021
SynLiDAR: Learning From Synthetic LiDAR Sequential Point Cloud for Semantic Segmentation
Transfer learning from synthetic to real data has been proved an effecti...
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07/07/2021
FBC-GAN: Diverse and Flexible Image Synthesis via Foreground-Background Composition
Generative Adversarial Networks (GANs) have become the de-facto standard...
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06/11/2021
Spectral Unsupervised Domain Adaptation for Visual Recognition
Unsupervised domain adaptation (UDA) aims to learn a well-performed mode...
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06/05/2021
Category Contrast for Unsupervised Domain Adaptation in Visual Tasks
Instance contrast for unsupervised representation learning has achieved ...
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06/05/2021
RDA: Robust Domain Adaptation via Fourier Adversarial Attacking
Unsupervised domain adaptation (UDA) involves a supervised loss in a lab...
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06/05/2021
Semi-Supervised Domain Adaptation via Adaptive and Progressive Feature Alignment
Contemporary domain adaptive semantic segmentation aims to address data ...
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03/31/2021
DA-DETR: Domain Adaptive Detection Transformer by Hybrid Attention
The prevalent approach in domain adaptive object detection adopts a two-...
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03/24/2021
MLAN: Multi-Level Adversarial Network for Domain Adaptive Semantic Segmentation
Recent progresses in domain adaptive semantic segmentation demonstrate t...
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03/03/2021
Cross-View Regularization for Domain Adaptive Panoptic Segmentation
Panoptic segmentation unifies semantic segmentation and instance segment...
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03/03/2021
FSDR: Frequency Space Domain Randomization for Domain Generalization
Domain generalization aims to learn a generalizable model from a known s...
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03/01/2021
FPS-Net: A Convolutional Fusion Network for Large-Scale LiDAR Point Cloud Segmentation
Scene understanding based on LiDAR point cloud is an essential task for ...
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02/27/2021
Uncertainty-Aware Unsupervised Domain Adaptation in Object Detection
Unsupervised domain adaptive object detection aims to adapt detectors fr...
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05/12/2019
