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Mar 24, 2024 · In this paper, we propose a new and effective weakly supervised FSOD method named WFS-DETR. By a well-designed pretraining process, WFS-DETR ...
In this paper, we propose a new and effective weakly supervised FSOD method named WFS-DETR. By a well-designed pretraining process, WFS-DETR first acquires.
Oct 22, 2024 · In this paper, we propose a new and effective weakly supervised FSOD method named WFS-DETR. By a well-designed pretraining process, WFS-DETR ...
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We evaluate our WS-DETR's performance on a variety of rigorous and challenging WSOD domains. For large- scale novel object detection, we utilize the Few-Shot Ob ...
Apr 7, 2024 · Based on this fact, the DETR-based FSOD detector can skip proposal generation and directly detect novel objects at the image level. In addition, ...
Few-shot Object Detection Papers. A paper list for few-shot object detection. 2021. [AAAI 2021] StarNet: towards Weakly Supervised Few-Shot Object Detection.
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Sep 4, 2024 · The challenge for weakly supervised object detectors is detecting all object instances without having any localization information during ...
WEAKLY-SUPERVISED FEW-SHOT OBJECT DETECTION WSOD tends to require 10/50 percent of images with manual tags in datasets, e.g., Pascal VOC07/12 [138] and MSCOCO [ ...
WS-DETR leverages large-scale fully supervised pretraining to detect hundreds of novel classes using only image-level classification labels.
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