motivationRecent works on VOS employ bottom-up pixel-level memory reading which struggles due to matching noise, especially in the presence of distractors, resultingin lower performance in more challe

motivationThe researchers explored the problem(“Do state-of-the-art VOS algorithm scale well?”), and the respective comparison results were depicted below:And researchers think the undesirable connect

motivationAvailable cues like the intermediate predictions of video frames become richer, while existing works can not utilize them effectively.The paper resolves the issue by leveraging memory networ

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motivationThe paper forcuses on two basic lines of research containing generic object segmentation(of unknown categories)in videos and video semantic segmentation. A github link was proposed for track

MotivationA survey aiming at achieving accurate clothing-retrieval in cross-domain situations. Survey ResultsChallenges clothes are flexible items, and when viewed from different shooting angles or Th

MotivationThe detailed study for position encoding within transformer to address MTSC problem is absent. So the paper tends to fill it in terms of Absolute Position Embedding(APE) and Relative Positio

MotivationTwo novel attention mechanisms were proposed, which contain a relative positive encoding and attention block. The main contributions:(1)TPS: explicitly model the relative position distanc

Motivation We extend the taxonomy to include three categories to reflect the recent development, which contain convolution、feature and deep learning. We introduce 30 new datasets based on UCR112. We m

Motivation According to the left of fig(1), tuning RF size make substantial influence over acc, and there is no single best RF size across all datasets demonstarted in the right of fig(1). So research