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Found 4 papers, 1 papers with code
Optimal Transcoding Resolution Prediction for Efficient Per-Title Bitrate Ladder Estimation
In this paper, we propose to directly predict the optimal transcoding resolution at each preset bitrate for efficient bitrate ladder construction.
Self-Asymmetric Invertible Network for Compression-Aware Image Rescaling
In this paper, we propose the Self-Asymmetric Invertible Network (SAIN) for compression-aware image rescaling.
MPASNET: Motion Prior-Aware Siamese Network for Unsupervised Deep Crowd Segmentation in Video Scenes
Crowd segmentation is a fundamental task serving as the basis of crowded scene analysis, and it is highly desirable to obtain refined pixel-level segmentation maps.
Towards Cross-Granularity Few-Shot Learning: Coarse-to-Fine Pseudo-Labeling with Visual-Semantic Meta-Embedding
Few-shot learning aims at rapidly adapting to novel categories with only a handful of samples at test time, which has been predominantly tackled with the idea of meta-learning.
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