负担
发表于 2025-3-30 08:22:48
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钝剑
发表于 2025-3-30 15:02:02
,Bayesian Self-training for Semi-supervised 3D Segmentation,rtite matching algorithm, we extend the method to semi-supervised 3D instance segmentation, and finally, with the same building blocks, to dense 3D visual grounding. We demonstrate state-of-the-art results for our semi-supervised method on SemanticKITTI and ScribbleKITTI for 3D semantic segmentation
美学
发表于 2025-3-30 19:57:54
,Motion and Structure from Event-Based Normal Flow,ometric error term, as an alternative to the full (optical) flow in solving a family of geometric problems that involve instantaneous first-order kinematics and scene geometry. Furthermore, we develop a fast linear solver and a continuous-time nonlinear solver on top of the proposed geometric error
slipped-disk
发表于 2025-3-30 23:28:32
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dura-mater
发表于 2025-3-31 02:55:03
,Learning to Complement and to Defer to Multiple Users,Comprehensive evaluations across real-world and synthesized datasets demonstrate LECODU’s superior performance compared to state-of-the-art HAI-CC methods. Remarkably, even when relying on unreliable users with high rates of label noise, LECODU exhibits significant improvement over both human decisi
Admonish
发表于 2025-3-31 07:45:13
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Ornament
发表于 2025-3-31 09:19:10
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万灵丹
发表于 2025-3-31 17:08:38
,Multi-sentence Grounding for Long-Term Instructional Video,ltaneously, as a result, the model shows superior performance on a series of multi-sentence grounding tasks, surpassing existing state-of-the-art methods by a significant margin on three public benchmarks, namely, 9.0% on HT-Step, 5.1% on HTM-Align and 1.9% on CrossTask. All codes, models, and the r
拥护
发表于 2025-3-31 20:27:52
,Do Generalised Classifiers , on Human Drawn Sketches?,straction levels. This is achieved by learning a codebook of abstraction-specific prompt biases, a weighted combination of which facilitates the representation of sketches across abstraction levels – low abstract edge-maps, medium abstract sketches in TU-Berlin, and highly abstract doodles in QuickD
KEGEL
发表于 2025-3-31 21:50:41
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