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View Code? Open in Web Editor NEWLearning Unsupervised Video Object Segmentation through Visual Attention (CVPR19, PAMI20)
Learning Unsupervised Video Object Segmentation through Visual Attention (CVPR19, PAMI20)
请问这个算法适用有多个运动目标的情况吗?
非常感谢您的工作,发现您在百度网盘的model和数据已经不见了,可以在再上传一下吗,谢谢。
Our model, segmentation and saliency results, and fixation data can also be found at Baidu Pan https://pan.baidu.com/s/1hz6iVOAMW3QRORebK3mC3Q , extaction code: 6prn
I try to experiment on the FBMS59 dataset.
I use your results on FBMS and davis16 matlab code to compute evaluation metric J and
obtain 73.95 (76.0 in your paper).
The groundtruth for fbms is generated from downloaded official dataset.
if len(label.shape) ==3:
label_1 = label[:,:,0]
label_1 = (label_1==0).astype(np.uint8)
label_2 = label[:,:,1]
label_2 = (label_2==0).astype(np.uint8)
label_3 = label[:,:,2]
label_3 = (label_3==0).astype(np.uint8)
label = label_1 + label_2 + label_3
# label = label_1
label = (label>0).astype(np.uint8)
# label = label
else:
label = (label==255).astype(np.uint8)
it is the code for binary mask generation. I want to ask what is the question for my gt generation?
Can you give some help for this? It will be so thankful!!!!
你好,你的模型权重下载不了,想问一下模型权重多大啊
How much time dose this model process a frame?
What's your fps?
Perfect work!!! I notice that you have added the results on DAVIS2017. If it is possible, could you talk about how you modify this model to adapt instance-level object segmentation?
What line of code do you use for convLSTM?
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