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09/18/2023
Heterogeneous Generative Knowledge Distillation with Masked Image Modeling
Small CNN-based models usually require transferring knowledge from a lar...
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08/20/2023
Representation Disparity-aware Distillation for 3D Object Detection
In this paper, we focus on developing knowledge distillation (KD) for co...
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07/01/2023
Filter Pruning for Efficient CNNs via Knowledge-driven Differential Filter Sampler
Filter pruning simultaneously accelerates the computation and reduces th...
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06/27/2023
DCP-NAS: Discrepant Child-Parent Neural Architecture Search for 1-bit CNNs
Neural architecture search (NAS) proves to be among the effective approa...
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05/21/2023
Bi-ViT: Pushing the Limit of Vision Transformer Quantization
Vision transformers (ViTs) quantization offers a promising prospect to f...
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05/19/2023
AttriCLIP: A Non-Incremental Learner for Incremental Knowledge Learning
Continual learning aims to enable a model to incrementally learn knowled...
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05/19/2023
Few-Shot Learning with Visual Distribution Calibration and Cross-Modal Distribution Alignment
Pre-trained vision-language models have inspired much research on few-sh...
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05/17/2023
Controllable Mind Visual Diffusion Model
Brain signal visualization has emerged as an active research area, servi...
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04/14/2023
MVP-SEG: Multi-View Prompt Learning for Open-Vocabulary Semantic Segmentation
CLIP (Contrastive Language-Image Pretraining) is well-developed for open...
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04/06/2023
Face Animation with an Attribute-Guided Diffusion Model
Face animation has achieved much progress in computer vision. However, p...
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04/01/2023
Q-DETR: An Efficient Low-Bit Quantized Detection Transformer
The recent detection transformer (DETR) has advanced object detection, b...
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03/29/2023
Implicit Diffusion Models for Continuous Super-Resolution
Image super-resolution (SR) has attracted increasing attention due to it...
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03/03/2023
Confidence-driven Bounding Box Localization for Small Object Detection
Despite advancements in generic object detection, there remains a perfor...
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02/02/2023
Resilient Binary Neural Network
Binary neural networks (BNNs) have received ever-increasing popularity f...
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12/12/2022
Feature Calibration Network for Occluded Pedestrian Detection
Pedestrian detection in the wild remains a challenging problem especiall...
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12/12/2022
CircleNet: Reciprocating Feature Adaptation for Robust Pedestrian Detection
Pedestrian detection in the wild remains a challenging problem especiall...
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11/28/2022
Rethinking the Number of Shots in Robust Model-Agnostic Meta-Learning
Robust Model-Agnostic Meta-Learning (MAML) is usually adopted to train a...
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10/13/2022
Q-ViT: Accurate and Fully Quantized Low-bit Vision Transformer
The large pre-trained vision transformers (ViTs) have demonstrated remar...
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10/07/2022
IDa-Det: An Information Discrepancy-aware Distillation for 1-bit Detectors
Knowledge distillation (KD) has been proven to be useful for training co...
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09/21/2022
FNeVR: Neural Volume Rendering for Face Animation
Face animation, one of the hottest topics in computer vision, has achiev...
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09/04/2022
Recurrent Bilinear Optimization for Binary Neural Networks
Binary Neural Networks (BNNs) show great promise for real-world embedded...
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08/31/2022
MAFormer: A Transformer Network with Multi-scale Attention Fusion for Visual Recognition
Vision Transformer and its variants have demonstrated great potential in...
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08/27/2022
Anti-Retroactive Interference for Lifelong Learning
Humans can continuously learn new knowledge. However, machine learning m...
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03/24/2022
Bi-level Doubly Variational Learning for Energy-based Latent Variable Models
Energy-based latent variable models (EBLVMs) are more expressive than co...
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03/17/2022
Confidence Dimension for Deep Learning based on Hoeffding Inequality and Relative Evaluation
Research on the generalization ability of deep neural networks (DNNs) ha...
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01/20/2022
TerViT: An Efficient Ternary Vision Transformer
Vision transformers (ViTs) have demonstrated great potential in various ...
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12/28/2021
Associative Adversarial Learning Based on Selective Attack
A human's attention can intuitively adapt to corrupted areas of an image...
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12/15/2021
Self-Supervised Monocular Depth and Ego-Motion Estimation in Endoscopy: Appearance Flow to the Rescue
Recently, self-supervised learning technology has been applied to calcul...
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11/26/2021
POEM: 1-bit Point-wise Operations based on Expectation-Maximization for Efficient Point Cloud Processing
Real-time point cloud processing is fundamental for lots of computer vis...
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11/17/2021
IntraQ: Learning Synthetic Images with Intra-Class Heterogeneity for Zero-Shot Network Quantization
Learning to synthesize data has emerged as a promising direction in zero...
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11/16/2021
NENet: Monocular Depth Estimation via Neural Ensembles
Depth estimation is getting a widespread popularity in the computer visi...
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09/12/2021
Prioritized Subnet Sampling for Resource-Adaptive Supernet Training
A resource-adaptive supernet adjusts its subnets for inference to fit th...
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06/20/2021
Cogradient Descent for Dependable Learning
Conventional gradient descent methods compute the gradients for multiple...
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06/06/2021
Oriented Object Detection with Transformer
Object detection with Transformers (DETR) has achieved a competitive per...
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05/07/2021
Probabilistic Ranking-Aware Ensembles for Enhanced Object Detections
Model ensembles are becoming one of the most effective approaches for im...
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03/08/2021
Interpretable Attention Guided Network for Fine-grained Visual Classification
Fine-grained visual classification (FGVC) is challenging but more critic...
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02/16/2021
SiMaN: Sign-to-Magnitude Network Binarization
Binary neural networks (BNNs) have attracted broad research interest due...
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02/03/2021
Multi-UAV Mobile Edge Computing and Path Planning Platform based on Reinforcement Learning
Unmanned Aerial vehicles (UAVs) are widely used as network processors in...
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12/07/2020
Deformable Gabor Feature Networks for Biomedical Image Classification
In recent years, deep learning has dominated progress in the field of me...
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12/01/2020
Fast Class-wise Updating for Online Hashing
Online image hashing has received increasing research attention recently...
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11/24/2020
A Review of Recent Advances of Binary Neural Networks for Edge Computing
Edge computing is promising to become one of the next hottest topics in ...
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11/09/2020
PAMS: Quantized Super-Resolution via Parameterized Max Scale
Deep convolutional neural networks (DCNNs) have shown dominant performan...
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09/28/2020
Rotated Binary Neural Network
Binary Neural Network (BNN) shows its predominance in reducing the compl...
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09/16/2020
The 1st Tiny Object Detection Challenge:Methods and Results
The 1st Tiny Object Detection (TOD) Challenge aims toencourage research ...
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09/08/2020
Binarized Neural Architecture Search for Efficient Object Recognition
Traditional neural architecture search (NAS) has a significant impact in...
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08/03/2020
Anti-Bandit Neural Architecture Search for Model Defense
Deep convolutional neural networks (DCNNs) have dominated as the best pe...
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06/23/2020
iffDetector: Inference-aware Feature Filtering for Object Detection
Modern CNN-based object detectors focus on feature configuration during ...
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06/16/2020
Cogradient Descent for Bilinear Optimization
Conventional learning methods simplify the bilinear model by regarding t...
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02/29/2020
NAS-Count: Counting-by-Density with Neural Architecture Search
Most of the recent advances in crowd counting have evolved from hand-des...
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02/24/2020
