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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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07/22/2023
Simple parameter-free self-attention approximation
The hybrid model of self-attention and convolution is one of the methods...
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05/08/2023
Prompt Tuning Inversion for Text-Driven Image Editing Using Diffusion Models
Recently large-scale language-image models (e.g., text-guided diffusion ...
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04/07/2023
Language-aware Multiple Datasets Detection Pretraining for DETRs
Pretraining on large-scale datasets can boost the performance of object ...
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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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11/17/2022
CAE v2: Context Autoencoder with CLIP Target
Masked image modeling (MIM) learns visual representation by masking and ...
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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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02/07/2022
Context Autoencoder for Self-Supervised Representation Learning
We present a novel masked image modeling (MIM) approach, context autoenc...
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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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05/31/2021
Dual-stream Network for Visual Recognition
Transformers with remarkable global representation capacities achieve co...
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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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04/28/2021
PAFNet: An Efficient Anchor-Free Object Detector Guidance
Object detection is a basic but challenging task in computer vision, whi...
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04/21/2021
PP-YOLOv2: A Practical Object Detector
Being effective and efficient is essential to an object detector for pra...
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03/07/2021
Student-Teacher Feature Pyramid Matching for Unsupervised Anomaly Detection
Anomaly detection is a challenging task and usually formulated as an uns...
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10/15/2020
HS-ResNet: Hierarchical-Split Block on Convolutional Neural Network
This paper addresses representational block named Hierarchical-Split Blo...
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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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07/23/2020
PP-YOLO: An Effective and Efficient Implementation of Object Detector
Object detection is one of the most important areas in computer vision, ...
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11/17/2019
2nd Place Solution in Google AI Open Images Object Detection Track 2019
We present an object detection framework based on PaddlePaddle. We put a...
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11/02/2018