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09/15/2023
Rethinking Cross-Domain Pedestrian Detection: A Background-Focused Distribution Alignment Framework for Instance-Free One-Stage Detectors
Cross-domain pedestrian detection aims to generalize pedestrian detector...
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08/26/2023
Boosting Residual Networks with Group Knowledge
Recent research understands the residual networks from a new perspective...
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05/04/2023
Stimulative Training++: Go Beyond The Performance Limits of Residual Networks
Residual networks have shown great success and become indispensable in r...
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04/20/2023
Multi-view Vision-Prompt Fusion Network: Can 2D Pre-trained Model Boost 3D Point Cloud Data-scarce Learning?
Point cloud based 3D deep model has wide applications in many applicatio...
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01/16/2023
β-DARTS++: Bi-level Regularization for Proxy-robust Differentiable Architecture Search
Neural Architecture Search has attracted increasing attention in recent ...
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11/15/2022
Instance-aware Model Ensemble With Distillation For Unsupervised Domain Adaptation
The linear ensemble based strategy, i.e., averaging ensemble, has been p...
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10/18/2022
ViTCoD: Vision Transformer Acceleration via Dedicated Algorithm and Accelerator Co-Design
Vision Transformers (ViTs) have achieved state-of-the-art performance on...
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10/09/2022
Stimulative Training of Residual Networks: A Social Psychology Perspective of Loafing
Residual networks have shown great success and become indispensable in t...
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08/10/2022
Efficient Joint-Dimensional Search with Solution Space Regularization for Real-Time Semantic Segmentation
Semantic segmentation is a popular research topic in computer vision, an...
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07/08/2022
SuperTickets: Drawing Task-Agnostic Lottery Tickets from Supernets via Jointly Architecture Searching and Parameter Pruning
Neural architecture search (NAS) has demonstrated amazing success in sea...
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07/02/2022
Learning Cross-Image Object Semantic Relation in Transformer for Few-Shot Fine-Grained Image Classification
Few-shot fine-grained learning aims to classify a query image into one o...
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05/17/2022
ShiftAddNAS: Hardware-Inspired Search for More Accurate and Efficient Neural Networks
Neural networks (NNs) with intensive multiplications (e.g., convolutions...
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04/06/2022
Towards Robust Adaptive Object Detection under Noisy Annotations
Domain Adaptive Object Detection (DAOD) models a joint distribution of i...
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03/03/2022
β-DARTS: Beta-Decay Regularization for Differentiable Architecture Search
Neural Architecture Search (NAS) has attracted increasingly more attenti...
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10/24/2021
Exploring Gradient Flow Based Saliency for DNN Model Compression
Model pruning aims to reduce the deep neural network (DNN) model size or...
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10/19/2021
Learning-based Fast Path Planning in Complex Environments
In this paper, we present a novel path planning algorithm to achieve fas...
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08/16/2021
BN-NAS: Neural Architecture Search with Batch Normalization
We present BN-NAS, neural architecture search with Batch Normalization (...
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08/07/2021
PSViT: Better Vision Transformer via Token Pooling and Attention Sharing
In this paper, we observe two levels of redundancies when applying visio...
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07/07/2021
GLiT: Neural Architecture Search for Global and Local Image Transformer
We introduce the first Neural Architecture Search (NAS) method to find a...
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05/28/2021
AutoSampling: Search for Effective Data Sampling Schedules
Data sampling acts as a pivotal role in training deep learning models. H...
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04/03/2021
No Need for Interactions: Robust Model-Based Imitation Learning using Neural ODE
Interactions with either environments or expert policies during training...
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03/24/2021
Learning Scene Structure Guidance via Cross-Task Knowledge Transfer for Single Depth Super-Resolution
Existing color-guided depth super-resolution (DSR) approaches require pa...
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03/09/2021
MetaCorrection: Domain-aware Meta Loss Correction for Unsupervised Domain Adaptation in Semantic Segmentation
Unsupervised domain adaptation (UDA) aims to transfer the knowledge from...
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01/25/2021
A Unified Joint Maximum Mean Discrepancy for Domain Adaptation
Domain adaptation has received a lot of attention in recent years, and m...
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11/10/2020
AIM 2020 Challenge on Learned Image Signal Processing Pipeline
This paper reviews the second AIM learned ISP challenge and provides the...
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10/22/2020
AutoPruning for Deep Neural Network with Dynamic Channel Masking
Modern deep neural network models are large and computationally intensiv...
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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...
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09/22/2020
SAMOT: Switcher-Aware Multi-Object Tracking and Still Another MOT Measure
Multi-Object Tracking (MOT) is a popular topic in computer vision. Howev...
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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 (...
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08/18/2020
UDC 2020 Challenge on Image Restoration of Under-Display Camera: Methods and Results
This paper is the report of the first Under-Display Camera (UDC) image r...
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05/08/2020
NTIRE 2020 Challenge on Real Image Denoising: Dataset, Methods and Results
This paper reviews the NTIRE 2020 challenge on real image denoising with...
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02/28/2020
