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03/17/2023
Bidirectional Domain Mixup for Domain Adaptive Semantic Segmentation
Mixup provides interpolated training samples and allows the model to obt...
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01/02/2023
ConvNeXt V2: Co-designing and Scaling ConvNets with Masked Autoencoders
Driven by improved architectures and better representation learning fram...
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12/20/2022
Tracking by Associating Clips
The tracking-by-detection paradigm today has become the dominant method ...
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12/20/2022
Bridging Images and Videos: A Simple Learning Framework for Large Vocabulary Video Object Detection
Scaling object taxonomies is one of the important steps toward a robust ...
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12/16/2022
CD-TTA: Compound Domain Test-time Adaptation for Semantic Segmentation
Test-time adaptation (TTA) has attracted significant attention due to it...
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12/16/2022
Learning Classifiers of Prototypes and Reciprocal Points for Universal Domain Adaptation
Universal Domain Adaptation aims to transfer the knowledge between the d...
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08/03/2022
Per-Clip Video Object Segmentation
Recently, memory-based approaches show promising results on semi-supervi...
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10/08/2021
Discover, Hallucinate, and Adapt: Open Compound Domain Adaptation for Semantic Segmentation
Unsupervised domain adaptation (UDA) for semantic segmentation has been ...
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09/02/2021
Studying the Effects of Self-Attention for Medical Image Analysis
When the trained physician interprets medical images, they understand th...
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08/12/2021
LabOR: Labeling Only if Required for Domain Adaptive Semantic Segmentation
Unsupervised Domain Adaptation (UDA) for semantic segmentation has been ...
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07/23/2021
Unsupervised Domain Adaptation for Video Semantic Segmentation
Unsupervised Domain Adaptation for semantic segmentation has gained imme...
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06/17/2021
Learning to Associate Every Segment for Video Panoptic Segmentation
Temporal correspondence - linking pixels or objects across frames - is a...
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12/09/2020
Two-phase Pseudo Label Densification for Self-training based Domain Adaptation
Recently, deep self-training approaches emerged as a powerful solution t...
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11/26/2020
The Devil is in the Boundary: Exploiting Boundary Representation for Basis-based Instance Segmentation
Pursuing a more coherent scene understanding towards real-time vision ap...
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06/19/2020
Video Panoptic Segmentation
Panoptic segmentation has become a new standard of visual recognition ta...
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02/03/2020
Hide-and-Tell: Learning to Bridge Photo Streams for Visual Storytelling
Visual storytelling is a task of creating a short story based on photo s...
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08/21/2019
Preserving Semantic and Temporal Consistency for Unpaired Video-to-Video Translation
In this paper, we investigate the problem of unpaired video-to-video tra...
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07/30/2019
Propose-and-Attend Single Shot Detector
We present a simple yet effective prediction module for a one-stage dete...
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05/30/2019
Align-and-Attend Network for Globally and Locally Coherent Video Inpainting
We propose a novel feed-forward network for video inpainting. We use a s...
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05/08/2019
Deep Blind Video Decaptioning by Temporal Aggregation and Recurrence
Blind video decaptioning is a problem of automatically removing text ove...
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05/05/2019
Deep Video Inpainting
Video inpainting aims to fill spatio-temporal holes with plausible conte...
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11/24/2018
Discriminative Feature Learning for Unsupervised Video Summarization
In this paper, we address the problem of unsupervised video summarizatio...
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11/15/2018
LinkNet: Relational Embedding for Scene Graph
Objects and their relationships are critical contents for image understa...
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07/17/2018
CBAM: Convolutional Block Attention Module
We propose Convolutional Block Attention Module (CBAM), a simple yet eff...
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07/17/2018
BAM: Bottleneck Attention Module
Recent advances in deep neural networks have been developed via architec...
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09/18/2017