Titlebook: Computer Vision – ECCV 2020; 16th European Confer Andrea Vedaldi,Horst Bischof,Jan-Michael Frahm Conference proceedings 2020 Springer Natur

MODE

Generative Low-Bitwidth Data Free Quantization, deployed on mobile or embedded devices. Existing quantization methods require original data for calibration or fine-tuning to get better performance. However, in many real-world scenarios, the data may not be available due to confidential or private issues, thereby making existing quantization meth

Nebulous

Local Correlation Consistency for Knowledge Distillation,udent network. Existing methods mainly focus on the consistency of instance-level features and their relationships, but neglect the local features and their correlation, which also contain many details and discriminative patterns. In this paper, we propose the local correlation exploration framework

人工制品

Perceiving 3D Human-Object Spatial Arrangements from a Single Image in the Wild,e-wild captured in an uncontrolled environment. Notably, our method runs on datasets without any scene- or object-level 3D supervision. Our key insight is that considering humans and objects jointly gives rise to “3D common sense” constraints that can be used to resolve ambiguity. In particular, we

打击

Sep-Stereo: Visually Guided Stereophonic Audio Generation by Associating Source Separation,s guidance to generate binaural or ambisonic audio from mono ones with stereo supervision. However, this fully supervised paradigm suffers from an inherent drawback: the recording of stereophonic audio usually requires delicate devices that are expensive for wide accessibility. To overcome this chal

Amenable

CelebA-Spoof: Large-Scale Face Anti-spoofing Dataset with Rich Annotations,fforts devoted. Among them, face anti-spoofing emerges as an important area, whose objective is to identify whether a presented face is live or spoof. Though promising progress has been achieved, existing works still have difficulty in handling complex spoof attacks and generalizing to real-world sc

Nonthreatening

RENIN

MAOIS

SeqHAND: RGB-Sequence-Based 3D Hand Pose and Shape Estimation,ased on independent static images. In this paper, we attempt to not only consider the appearance of a hand but incorporate the temporal movement information of a hand in motion into the learning framework, which leads to the necessity of a large-scale dataset with sequential RGB hand images. We prop

Soliloquy

假设

AMLN: Adversarial-Based Mutual Learning Network for Online Knowledge Distillation,dels simultaneously and collaboratively. On the other hand, existing works focus more on outcome-driven learning according to knowledge like classification probabilities whereas the distilling processes which capture rich and useful intermediate features and information are largely neglected. In thi