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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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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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11/17/2022
CAE v2: Context Autoencoder with CLIP Target
Masked image modeling (MIM) learns visual representation by masking and ...
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11/07/2022
Group DETR v2: Strong Object Detector with Encoder-Decoder Pretraining
We present a strong object detector with encoder-decoder pretraining 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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05/07/2021
Probabilistic Ranking-Aware Ensembles for Enhanced Object Detections
Model ensembles are becoming one of the most effective approaches for im...
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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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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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04/17/2019
Stock Forecasting using M-Band Wavelet-Based SVR and RNN-LSTMs Models
The task of predicting future stock values has always been one that is h...
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06/11/2018
