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09/28/2022
RADACS: Towards Higher-Order Reasoning using Action Recognition in Autonomous Vehicles
When applied to autonomous vehicle settings, action recognition can help...
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04/17/2021
RefineMask: Towards High-Quality Instance Segmentation with Fine-Grained Features
The two-stage methods for instance segmentation, e.g. Mask R-CNN, have a...
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03/31/2021
Fixing the Teacher-Student Knowledge Discrepancy in Distillation
Training a small student network with the guidance of a larger teacher n...
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03/30/2021
Differentiable Network Adaption with Elastic Search Space
In this paper we propose a novel network adaption method called Differen...
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12/15/2020
Equalization Loss v2: A New Gradient Balance Approach for Long-tailed Object Detection
Recently proposed decoupled training methods emerge as a dominant paradi...
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10/02/2020
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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09/24/2020
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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09/03/2020
1st Place Solution of LVIS Challenge 2020: A Good Box is not a Guarantee of a Good Mask
This article introduces the solutions of the team lvisTraveler for LVIS ...
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08/19/2020
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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05/07/2020
DMCP: Differentiable Markov Channel Pruning for Neural Networks
Recent works imply that the channel pruning can be regarded as searching...
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03/11/2020
Equalization Loss for Long-Tailed Object Recognition
Object recognition techniques using convolutional neural networks (CNN) ...
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02/21/2020
Residual Knowledge Distillation
Knowledge distillation (KD) is one of the most potent ways for model com...
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11/12/2019
Equalization Loss for Large Vocabulary Instance Segmentation
Recent object detection and instance segmentation tasks mainly focus on ...
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06/13/2019
Grid R-CNN Plus: Faster and Better
Grid R-CNN is a well-performed objection detection framework. It transfo...
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02/19/2019
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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12/05/2018
Feature Matters: A Stage-by-Stage Approach for Knowledge Transfer
Convolutional Neural Networks (CNNs) become deeper and deeper in recent ...
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11/29/2018
Grid R-CNN
This paper proposes a novel object detection framework named Grid R-CNN,...
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10/19/2016
