dvlab-research/ECCV22-P3AFormer-Tracking-Objects-as-Pixel-wise-Distributions
The official code for our ECCV22 oral paper: tracking objects as pixel-wise distributions.
PythonNOASSERTION
Issues
- 1
One question about Swin-B Transformer
#17 opened by monstre0731 - 0
Usage of interpolation.py
#21 opened by lorenzovaquero - 0
/data/dataset/coco do not exist?
#20 opened by yixinuestc - 0
bash make.sh时出现问题
#19 opened by Whyrailgun - 0
How to run demo?
#18 opened by 2713286758 - 0
Confusions about ablation studies
#16 opened by infZhou - 0
Is mosaic aug in this repo?
#15 opened by zyayoung - 1
two question
#5 opened by fuyi02 - 1
Training Sequence
#14 opened by smart-face - 5
P3AFormer/DCNv2/_ext.cpython-38-x86_64-linux-gnu.so: undefined symbol: THPVariableClass
#8 opened by WesLee88524 - 0
RuntimeErrorRuntimeError: : Output 0 of _DDPSinkBackward is a view and is being modified inplace. This view is the output of a function that returns multiple views. Such functions do not allow the output views to be modified inplace. You should replace the inplace operation by an out-of-place one
#13 opened by WesLee88524 - 0
About coco pre-training
#12 opened by davidyang180 - 1
where's the code for feature propagation?
#9 opened by indigopyj - 1
which DCNv2 module is used
#11 opened by pjy125175 - 0
About some details mentioned in the paper
#10 opened by davidyang180 - 1
- 0
Unable to find the code to implement the association method proposed in the paper
#6 opened by yolomax - 1
Mot的模型的链接什么时候能放出来?
#4 opened by fuyi02 - 1
what is your project torch version?
#3 opened by wangyuuu - 1
train
#2 opened by fengxiuyaun - 1
Why not YOLO for Object Detection?
#1 opened by duckaivn