Small CNN-based models usually require transferring knowledge from a lar...
Pretraining on large-scale datasets can boost the performance of object
...
Masked image modeling (MIM) learns visual representation by masking and
...
We present a strong object detector with encoder-decoder pretraining and...
Vision Transformer and its variants have demonstrated great potential in...
We present a novel masked image modeling (MIM) approach, context autoenc...
Object detection with Transformers (DETR) has achieved a competitive
per...
Model ensembles are becoming one of the most effective approaches for
im...
The 1st Tiny Object Detection (TOD) Challenge aims toencourage research ...
We present an object detection framework based on PaddlePaddle. We put a...
The task of predicting future stock values has always been one that is
h...
Real-time object detection and tracking have shown to be the basis of
in...