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06/19/2023
NAR-Former V2: Rethinking Transformer for Universal Neural Network Representation Learning
As more deep learning models are being applied in real-world application...
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06/01/2023
Teacher Agent: A Non-Knowledge Distillation Method for Rehearsal-based Video Incremental Learning
With the rise in popularity of video-based social media, new categories ...
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11/15/2022
NAR-Former: Neural Architecture Representation Learning towards Holistic Attributes Prediction
With the wide and deep adoption of deep learning models in real applicat...
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11/14/2022
CabViT: Cross Attention among Blocks for Vision Transformer
Since the vision transformer (ViT) has achieved impressive performance i...
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11/14/2022
ParCNetV2: Oversized Kernel with Enhanced Attention
Transformers have achieved tremendous success in various computer vision...
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10/08/2022
Fast-ParC: Position Aware Global Kernel for ConvNets and ViTs
Transformer models have made tremendous progress in various fields in re...
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03/08/2022
EdgeFormer: Improving Light-weight ConvNets by Learning from Vision Transformers
Recently, vision transformers started to show impressive results which o...
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10/21/2021
3D-ANAS v2: Grafting Transformer Module on Automatically Designed ConvNet for Hyperspectral Image Classification
Hyperspectral image (HSI) classification has been a hot topic for decide...
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07/30/2021
Compression Network with Transformer for Approximate Nearest Neighbor Search
We propose a generic feature compression method for Approximate Nearest ...
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07/28/2021
Pseudo-LiDAR Based Road Detection
Road detection is a critically important task for self-driving cars. By ...
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01/12/2021
3D-ANAS: 3D Asymmetric Neural Architecture Search for Fast Hyperspectral Image Classification
Hyperspectral images involve abundant spectral and spatial information, ...
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12/24/2020
Memory-Efficient Hierarchical Neural Architecture Search for Image Restoration
Recently, much attention has been spent on neural architecture search (N...
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12/07/2020
Hyperspectral Classification Based on Lightweight 3-D-CNN With Transfer Learning
Recently, hyperspectral image (HSI) classification approaches based on d...
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08/04/2020
Hyperspectral Image Classification with Spatial Consistence Using Fully Convolutional Spatial Propagation Network
In recent years, deep convolutional neural networks (CNNs) have shown im...
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02/11/2020
Hyperspectral Classification Based on 3D Asymmetric Inception Network with Data Fusion Transfer Learning
Hyperspectral image(HSI) classification has been improved with convoluti...
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10/09/2019
Gradient Information Guided Deraining with A Novel Network and Adversarial Training
In recent years, deep learning based methods have made significant progr...
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09/28/2019
Meta Learning with Differentiable Closed-form Solver for Fast Video Object Segmentation
This paper tackles the problem of video object segmentation. We are spec...
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09/18/2019
IR-NAS: Neural Architecture Search for Image Restoration
Recently, neural architecture search (NAS) methods have attracted much a...
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08/10/2019
Exploiting temporal consistency for real-time video depth estimation
Accuracy of depth estimation from static images has been significantly i...
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11/24/2018
