方面
发表于 2025-3-21 17:28:44
书目名称Computer Vision – ECCV 2022影响因子(影响力)<br> http://impactfactor.cn/if/?ISSN=BK0234250<br><br> <br><br>书目名称Computer Vision – ECCV 2022影响因子(影响力)学科排名<br> http://impactfactor.cn/ifr/?ISSN=BK0234250<br><br> <br><br>书目名称Computer Vision – ECCV 2022网络公开度<br> http://impactfactor.cn/at/?ISSN=BK0234250<br><br> <br><br>书目名称Computer Vision – ECCV 2022网络公开度学科排名<br> http://impactfactor.cn/atr/?ISSN=BK0234250<br><br> <br><br>书目名称Computer Vision – ECCV 2022被引频次<br> http://impactfactor.cn/tc/?ISSN=BK0234250<br><br> <br><br>书目名称Computer Vision – ECCV 2022被引频次学科排名<br> http://impactfactor.cn/tcr/?ISSN=BK0234250<br><br> <br><br>书目名称Computer Vision – ECCV 2022年度引用<br> http://impactfactor.cn/ii/?ISSN=BK0234250<br><br> <br><br>书目名称Computer Vision – ECCV 2022年度引用学科排名<br> http://impactfactor.cn/iir/?ISSN=BK0234250<br><br> <br><br>书目名称Computer Vision – ECCV 2022读者反馈<br> http://impactfactor.cn/5y/?ISSN=BK0234250<br><br> <br><br>书目名称Computer Vision – ECCV 2022读者反馈学科排名<br> http://impactfactor.cn/5yr/?ISSN=BK0234250<br><br> <br><br>
Melodrama
发表于 2025-3-21 20:38:11
,OSFormer: One-Stage Camouflaged Instance Segmentation with Transformers,esign a . (LST) to obtain the location label and instance-aware parameters by introducing the location-guided queries and the blend-convolution feed-forward network. Second, we develop a . (CFF) to merge diverse context information from the LST encoder and CNN backbone. Coupling these two components
Devastate
发表于 2025-3-22 01:04:33
Highly Accurate Dichotomous Image Segmentation,ages. To this end, we collected the first large-scale DIS dataset, called ., which contains 5,470 high-resolution (., 2K, 4K or larger) images covering ., ., or . in various backgrounds. DIS is annotated with extremely fine-grained labels. Besides, we introduce a simple intermediate supervision base
anus928
发表于 2025-3-22 06:36:33
,Boosting Supervised Dehazing Methods via Bi-level Patch Reweighting,rvised dehazing methods, in which all training patches are accounted for equally in the loss design. These supervised methods may fail in making promising recoveries on some regions contaminated by heavy hazes. Therefore, for a more reasonable dehazing losses design, the varying importance of differ
单色
发表于 2025-3-22 11:12:53
,Flow-Guided Transformer for Video Inpainting,in transformer for high fidelity video inpainting. More specially, we design a novel flow completion network to complete the corrupted flows by exploiting the relevant flow features in a local temporal window. With the completed flows, we propagate the content across video frames, and adopt the flow
MONY
发表于 2025-3-22 14:12:00
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MONY
发表于 2025-3-22 19:59:30
,Perception-Distortion Balanced ADMM Optimization for Single-Image Super-Resolution,rmance in one aspect due to the perception-distortion trade-off, and works that successfully balance the trade-off rely on fusing results from separately trained models with ad-hoc post-processing. In this paper, we propose a novel super-resolution model with a low-frequency constraint (LFc-SR), whi
接合
发表于 2025-3-22 22:37:02
,VQFR: Blind Face Restoration with Vector-Quantized Dictionary and Parallel Decoder,d facial details faithful to inputs remains a challenging problem. Motivated by the classical dictionary-based methods and the recent vector quantization (VQ) technique, we propose a VQ-based face restoration method – VQFR. VQFR takes advantage of high-quality low-level feature banks extracted from
哀悼
发表于 2025-3-23 02:57:53
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省略
发表于 2025-3-23 05:55:25
,Learning Spatio-Temporal Downsampling for Effective Video Upscaling,uch as moiré patterns in space and the wagon-wheel effect in time. Consequently, the inverse task of upscaling a low-resolution, low frame-rate video in space and time becomes a challenging ill-posed problem due to information loss and aliasing artifacts. In this paper, we aim to solve the space-tim