传授知识
发表于 2025-3-25 03:36:37
Conference proceedings 2018, ECCV 2018, held in Munich, Germany, in September 2018..The 776 revised papers presented were carefully reviewed and selected from 2439 submissions. The papers are organized in topical sections on learning for vision; computational photography; human analysis; human sensing; stereo and reconstructi
aquatic
发表于 2025-3-25 10:39:22
The dynamics of industrial Conflict to previous methods in handling text instances of irregular shapes, for example, curved text. Experiments on ICDAR2013, ICDAR2015 and Total-Text demonstrate that the proposed method achieves state-of-the-art results in both scene text detection and end-to-end text recognition tasks.
Mortar
发表于 2025-3-25 13:52:10
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薄膜
发表于 2025-3-25 15:54:45
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除草剂
发表于 2025-3-25 20:58:05
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INCUR
发表于 2025-3-26 04:13:18
Michael A. Pagano,Robert Leonardito compose classifiers for verb-noun pairs. We also provide benchmarks on several dataset for zero-shot learning including both image and video. We hope our method, dataset and baselines will facilitate future research in this direction.
Optimum
发表于 2025-3-26 06:25:47
Mask TextSpotter: An End-to-End Trainable Neural Network for Spotting Text with Arbitrary Shapes to previous methods in handling text instances of irregular shapes, for example, curved text. Experiments on ICDAR2013, ICDAR2015 and Total-Text demonstrate that the proposed method achieves state-of-the-art results in both scene text detection and end-to-end text recognition tasks.
subordinate
发表于 2025-3-26 12:30:05
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foppish
发表于 2025-3-26 15:50:08
Graph Distillation for Action Detection with Privileged Modalitiese scarce. We evaluate our approach on action classification and detection tasks in multimodal videos, and show that our model outperforms the state-of-the-art by a large margin on the NTU RGB+D and PKU-MMD benchmarks. The code is released at ..
赔偿
发表于 2025-3-26 19:35:47
Learning to Dodge A Bullet: Concyclic View Morphing via Deep Learning motion field and per-pixel visibility for new view interpolation. Comprehensive experiments on synthetic and real data show that our new framework outperforms the state-of-the-art and provides an inexpensive and practical solution for producing the bullet-time effects.