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08/08/2023
Exploring Transformers for Open-world Instance Segmentation
Open-world instance segmentation is a rising task, which aims to segment...
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05/18/2023
VisionLLM: Large Language Model is also an Open-Ended Decoder for Vision-Centric Tasks
Large language models (LLMs) have notably accelerated progress towards a...
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04/04/2023
Multi-Level Contrastive Learning for Dense Prediction Task
In this work, we present Multi-Level Contrastive Learning for Dense Pred...
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03/12/2023
Universal Instance Perception as Object Discovery and Retrieval
All instance perception tasks aim at finding certain objects specified b...
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10/09/2022
Self-supervised Video Representation Learning with Motion-Aware Masked Autoencoders
Masked autoencoders (MAEs) have emerged recently as art self-supervised ...
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01/03/2022
Language as Queries for Referring Video Object Segmentation
Referring video object segmentation (R-VOS) is an emerging cross-modal t...
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09/18/2021
