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pro vyhledávání: '"Yan, Junkai"'
Recent vision foundation models can extract universal representations and show impressive abilities in various tasks. However, their application on object detection is largely overlooked, especially without fine-tuning them. In this work, we show tha
Externí odkaz:
http://arxiv.org/abs/2410.19635
Vision and Language Navigation (VLN) is a challenging task that requires agents to understand instructions and navigate to the destination in a visual environment.One of the key challenges in outdoor VLN is keeping track of which part of the instruct
Externí odkaz:
http://arxiv.org/abs/2408.05090
In incremental object detection, knowledge distillation has been proven to be an effective way to alleviate catastrophic forgetting. However, previous works focused on preserving the knowledge of old models, ignoring that images could simultaneously
Externí odkaz:
http://arxiv.org/abs/2407.11499
Text-to-3D generation, which synthesizes 3D assets according to an overall text description, has significantly progressed. However, a challenge arises when the specific appearances need customizing at designated viewpoints but referring solely to the
Externí odkaz:
http://arxiv.org/abs/2404.06119
Person Re-identification (ReID) has been extensively developed for a decade in order to learn the association of images of the same person across non-overlapping camera views. To overcome significant variations between images across camera views, mou
Externí odkaz:
http://arxiv.org/abs/2403.11121
Recent sparse detectors with multiple, e.g. six, decoder layers achieve promising performance but much inference time due to complex heads. Previous works have explored using dense priors as initialization and built one-decoder-layer detectors. Altho
Externí odkaz:
http://arxiv.org/abs/2308.09242
Publikováno v:
In Environmental Pollution 1 November 2024 360
Publikováno v:
In Journal of Pediatric Surgery May 2024 59(5):981-991
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Publikováno v:
In Applied Surface Science 15 May 2021 548