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06/15/2023
Segment Any Point Cloud Sequences by Distilling Vision Foundation Models
Recent advancements in vision foundation models (VFMs) have opened up ne...
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03/06/2023
CLIP-guided Prototype Modulating for Few-shot Action Recognition
Learning from large-scale contrastive language-image pre-training like C...
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11/02/2022
Learning a Condensed Frame for Memory-Efficient Video Class-Incremental Learning
Recent incremental learning for action recognition usually stores repres...
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07/05/2022
Attention Guided Network for Salient Object Detection in Optical Remote Sensing Images
Due to the extreme complexity of scale and shape as well as the uncertai...
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07/04/2022
Open-world Semantic Segmentation for LIDAR Point Clouds
Current methods for LIDAR semantic segmentation are not robust enough fo...
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05/18/2022
A lightweight multi-scale context network for salient object detection in optical remote sensing images
Due to the more dramatic multi-scale variations and more complicated for...
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12/02/2021
Open-set 3D Object Detection
3D object detection has been wildly studied in recent years, especially ...
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08/10/2021
Deep Metric Learning for Open World Semantic Segmentation
Classical close-set semantic segmentation networks have limited ability ...
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08/08/2021
MPI: Multi-receptive and Parallel Integration for Salient Object Detection
The semantic representation of deep features is essential for image cont...
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08/01/2021