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Inception Convolution with Efficient Dilation Search
Dilation convolution is a critical mutant of standard convolution neural...
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DETR for Pedestrian Detection
Pedestrian detection in crowd scenes poses a challenging problem due to ...
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Context-Aware Graph Convolution Network for Target Re-identification
Most existing re-identification methods focus on learning robust and dis...
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PV-NAS: Practical Neural Architecture Search for Video Recognition
Recently, deep learning has been utilized to solve video recognition pro...
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Your signature is your password: Haptic Passwords on Mobile Devices
In this paper, a new behavioral biometric password based on haptic inter...
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Continuous Operator Authentication for Teleoperated Systems Using Hidden Markov Models
In this paper, we present a novel approach for continuous operator authe...
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Adaptive Gradient Method with Resilience and Momentum
Several variants of stochastic gradient descent (SGD) have been proposed...
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Once Quantized for All: Progressively Searching for Quantized Efficient Models
Automatic search of Quantized Neural Networks has attracted a lot of att...
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Dynamic Graph: Learning Instance-aware Connectivity for Neural Networks
One practice of employing deep neural networks is to apply the same arch...
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Improving Auto-Augment via Augmentation-Wise Weight Sharing
The recent progress on automatically searching augmentation policies has...
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MimicDet: Bridging the Gap Between One-Stage and Two-Stage Object Detection
Modern object detection methods can be divided into one-stage approaches...
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Collaborative Distillation in the Parameter and Spectrum Domains for Video Action Recognition
Recent years have witnessed the significant progress of action recogniti...
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BSN++: Complementary Boundary Regressor with Scale-Balanced Relation Modeling for Temporal Action Proposal Generation
Generating human action proposals in untrimmed videos is an important ye...
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Learning Connectivity of Neural Networks from a Topological Perspective
Seeking effective neural networks is a critical and practical field in d...
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CelebA-Spoof: Large-Scale Face Anti-Spoofing Dataset with Rich Annotations
As facial interaction systems are prevalently deployed, security and rel...
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Complementary Boundary Generator with Scale-Invariant Relation Modeling for Temporal Action Localization: Submission to ActivityNet Challenge 2020
This technical report presents an overview of our solution used in the s...
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Class-wise Dynamic Graph Convolution for Semantic Segmentation
Recent works have made great progress in semantic segmentation by exploi...
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Powering One-shot Topological NAS with Stabilized Share-parameter Proxy
One-shot NAS method has attracted much interest from the research commun...
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Large-Scale Object Detection in the Wild from Imbalanced Multi-Labels
Training with more data has always been the most stable and effective wa...
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COCAS: A Large-Scale Clothes Changing Person Dataset for Re-identification
Recent years have witnessed great progress in person re-identification (...
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DMCP: Differentiable Markov Channel Pruning for Neural Networks
Recent works imply that the channel pruning can be regarded as searching...
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1st Place Solutions for OpenImage2019 – Object Detection and Instance Segmentation
This article introduces the solutions of the two champion teams, `MMfrui...
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Top-1 Solution of Multi-Moments in Time Challenge 2019
In this technical report, we briefly introduce the solutions of our team...
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Equalization Loss for Long-Tailed Object Recognition
Object recognition techniques using convolutional neural networks (CNN) ...
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Towards Stabilizing Batch Statistics in Backward Propagation of Batch Normalization
Batch Normalization (BN) is one of the most widely used techniques in De...
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Cross-dataset Training for Class Increasing Object Detection
We present a conceptually simple, flexible and general framework for cro...
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Towards Unified INT8 Training for Convolutional Neural Network
Recently low-bit (e.g., 8-bit) network quantization has been extensively...
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Computation Reallocation for Object Detection
The allocation of computation resources in the backbone is a crucial iss...
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Equalization Loss for Large Vocabulary Instance Segmentation
Recent object detection and instance segmentation tasks mainly focus on ...
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Improving One-shot NAS by Suppressing the Posterior Fading
There is a growing interest in automated neural architecture search (NAS...
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CAMP: Cross-Modal Adaptive Message Passing for Text-Image Retrieval
Text-image cross-modal retrieval is a challenging task in the field of l...
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Efficient Neural Architecture Transformation Searchin Channel-Level for Object Detection
Recently, Neural Architecture Search has achieved great success in large...
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POD: Practical Object Detection with Scale-Sensitive Network
Scale-sensitive object detection remains a challenging task, where most ...
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Towards Flops-constrained Face Recognition
Large scale face recognition is challenging especially when the computat...
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Differentiable Soft Quantization: Bridging Full-Precision and Low-Bit Neural Networks
Hardware-friendly network quantization (e.g., binary/uniform quantizatio...
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STM: SpatioTemporal and Motion Encoding for Action Recognition
Spatiotemporal and motion features are two complementary and crucial inf...
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Grid R-CNN Plus: Faster and Better
Grid R-CNN is a well-performed objection detection framework. It transfo...
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LAW: Learning to Auto Weight
Example weighting algorithm is an effective solution to the training bia...
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AM-LFS: AutoML for Loss Function Search
Designing an effective loss function plays an important role in visual a...
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Online Hyper-parameter Learning for Auto-Augmentation Strategy
Data augmentation is critical to the success of modern deep learning tec...
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P2SGrad: Refined Gradients for Optimizing Deep Face Models
Cosine-based softmax losses significantly improve the performance of dee...
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Knowledge Distillation via Route Constrained Optimization
Distillation-based learning boosts the performance of the miniaturized n...
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Learning to Cluster Faces on an Affinity Graph
Face recognition sees remarkable progress in recent years, and its perfo...
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Video Generation from Single Semantic Label Map
This paper proposes the novel task of video generation conditioned on a ...
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Context-aware Dynamic Block
Although deeper and larger neural networks have achieved better performa...
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WIDER Face and Pedestrian Challenge 2018: Methods and Results
This paper presents a review of the 2018 WIDER Challenge on Face and Ped...
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Dynamic Curriculum Learning for Imbalanced Data Classification
Human attribute analysis is a challenging task in the field of computer ...
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Multi-Object Tracking with Multiple Cues and Switcher-Aware Classification
In this paper, we propose a unified Multi-Object Tracking (MOT) framewor...
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SiamRPN++: Evolution of Siamese Visual Tracking with Very Deep Networks
Siamese network based trackers formulate tracking as convolutional featu...
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IRLAS: Inverse Reinforcement Learning for Architecture Search
In this paper, we propose an inverse reinforcement learning method for a...
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