名字的误用
发表于 2025-3-30 11:36:27
Lecture Notes in Production Engineeringformance gap between them. We propose to narrow this gap by fine-tuning a base pre-trained weakly-supervised detector with a few fully-annotated samples automatically selected from the training set using “box-in-box” (BiB), a novel active learning strategy designed specifically to address the well-d
cortex
发表于 2025-3-30 15:51:20
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FEAS
发表于 2025-3-30 17:06:54
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Monotonous
发表于 2025-3-30 21:16:03
Consumption at Low Income Levels,asses the vanilla supervised learning. Two mainstream unsupervised learning schemes are the instance-level contrastive framework and clustering-based schemes. The former adopts the extremely fine-grained instance-level discrimination whose supervisory signal is not efficient due to the false negativ
HUSH
发表于 2025-3-31 04:46:52
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闲聊
发表于 2025-3-31 05:09:27
https://doi.org/10.1007/978-3-8350-5429-5e token masking differs from token masking in text, due to the amount and correlation of tokens in an image. In particular, to generate a challenging pretext task for MIM, we advocate a shift from random masking to informed masking. We develop and exhibit this idea in the context of distillation-bas
Finasteride
发表于 2025-3-31 09:43:44
The Economics of Superstars and Celebritiesevel labels used by fully supervised methods, point-level labels only provide a single point for each target as supervision, significantly reducing the annotation burden. We formulate the problem in an end-to-end framework by simultaneously generating panoptic pseudo-masks from point-level labels an
Nerve-Block
发表于 2025-3-31 16:32:36
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Badger
发表于 2025-3-31 21:35:33
Retirement and Profit Sharing Plansmodule based on Cross-Attention that can perform adaptive and asymmetric information exchange between the RGB and depth encoder. Our proposed framework, namely UCTNet, is an encoder-decoder network that naturally incorporates these two key designs for robust and accurate RGB-D Segmentation. Experime
configuration
发表于 2025-3-31 23:12:22
The Economics of Social Problemsl features in the source image and a prototype in the target image. The cross-domain matching encourages domain-invariant feature representations, while the bidirectional pixel-prototype correspondences aggregate features for the same object class, providing discriminative features. To establish tra