Run our infer.py to estimate amodal depth based on the input image and amodal mask: python ./infer.py --input_image_path ./assets/inference_examples/case1.jpg --input_mask_path ./assets/inference_masks/case1_mask.png --output_folder ./assets/results/ Have no idea how to get amodal ...
Intuitively, this ratio measures the degree by which an object is occluded. For an unoccluded object, because the amodal mask should be the same as the modal mask, this ratio should be close to 1. On the other hand, for a heavily occluded object, only a small proportion of the pixels ...
(SaVos). Our method efficiently leverages the visual information of video temporal sequences to infer the amodal mask of objects. The key intuition is that the occluded part of an object can be explained away if that part is visible in other frames, possibly deformed as long as the ...
The amodal mask is defined as the union of the visible mask and the invisible occlusion mask of the object. Person: Bench: In this repository, we provide the code to train and evaluate ORCNN. We also provide tools to visualize occlusion mask annotation and results. Installation See INSTALL...
Experiments on complex street scenes demonstrate state-of-the-art performance in amodal mask completion, and showcase high quality scene editing results. Interestingly, a user study shows that humans prefer object completions inferred by our model to the human-labeled ones.Huan Ling...
To effectively address the challenge of video amodal segmentation, we introduce the spatiotemporal-prior Amodal Mask Head, which leverages visible information intra clips while extracting amodal characteristics inter clips. Through extensive experiments and ablation studies, we show that A2VIS excels in ...
Subsequently, a mask, consisting of filled disks having the same radius, position, and contrast of the inducers, was presented for 300 msec. At the end of the trial, the subject was required to classify the figure into the “thin” or “fat” categories by pressing the appropriate button....
Searchlight MVPA was used across the whole grey matter mask of each subject to localize brain areas in which local patterns of cortical activity could be used to train a support vector machine (SVM) classifier to classify the identity of the familiar persons viewed and/or heard. We asked ...
In particular, on the amodal mask metric, our method outperforms the baseline by 5 percentage points on the COCOA cls dataset and 2 percentage points on the KINS dataset. The source code of this work will be made public soon.Zeng, Xunli...
on the real data, improving on filter matching and two-stage CNN baselines by 21% and 6%, respectively, while reducing computation time by 50 times as compared to the two-stage CNN due in part to the fact that OSSIS is one-stage and does not require pairwise segmentation mask comparisons...