research
∙
04/12/2023
Open-TransMind: A New Baseline and Benchmark for 1st Foundation Model Challenge of Intelligent Transportation
With the continuous improvement of computing power and deep learning alg...
share
research
∙
03/17/2023
A Unified Continual Learning Framework with General Parameter-Efficient Tuning
The "pre-training → downstream adaptation" presents both new opportuniti...
research
∙
02/13/2023
CFNet: Cascade Fusion Network for Dense Prediction
Multi-scale features are essential for dense prediction tasks, including...
research
∙
02/11/2023
Dual Relation Knowledge Distillation for Object Detection
Knowledge distillation is an effective method for model compression. How...
research
∙
11/15/2022
Knowledge Distillation for Detection Transformer with Consistent Distillation Points Sampling
DETR is a novel end-to-end transformer architecture object detector, whi...
research
∙
11/07/2022
Group DETR v2: Strong Object Detector with Encoder-Decoder Pretraining
We present a strong object detector with encoder-decoder pretraining and...
research
∙
07/23/2022
Active Pointly-Supervised Instance Segmentation
The requirement of expensive annotations is a major burden for training ...
research
∙
07/21/2022
UFO: Unified Feature Optimization
This paper proposes a novel Unified Feature Optimization (UFO) paradigm ...
research
∙
04/21/2022
CPGNet: Cascade Point-Grid Fusion Network for Real-Time LiDAR Semantic Segmentation
LiDAR semantic segmentation essential for advanced autonomous driving is...
research
∙
02/22/2022
The Winning Solution to the iFLYTEK Challenge 2021 Cultivated Land Extraction from High-Resolution Remote Sensing Image
Extracting cultivated land accurately from high-resolution remote images...
research
∙
01/07/2022
Equalized Focal Loss for Dense Long-Tailed Object Detection
Despite the recent success of long-tailed object detection, almost all l...
research
∙
08/19/2021
An Information Theory-inspired Strategy for Automatic Network Pruning
Despite superior performance on many computer vision tasks, deep convolu...
research
∙
06/14/2021
No Free Lunch: Microservice Practices Reconsidered in Industry
Microservice architecture advocates a number of technologies and practic...
research
∙
05/24/2021
Dynamic Class Queue for Large Scale Face Recognition In the Wild
Learning discriminative representation using large-scale face datasets i...
research
∙
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...
research
∙
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...
research
∙
10/22/2020
AutoPruning for Deep Neural Network with Dynamic Channel Masking
Modern deep neural network models are large and computationally intensiv...
research
∙
09/25/2020
AIM 2020 Challenge on Real Image Super-Resolution: Methods and Results
This paper introduces the real image Super-Resolution (SR) challenge tha...
research
∙
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 ...
research
∙
09/02/2020
Real Image Super Resolution Via Heterogeneous Model using GP-NAS
With advancement in deep neural network (DNN), recent state-of-the-art (...
research
∙
05/08/2020
