5.2k citations · 8.2k across the 49 of their papers we have counts for
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Learning to Refine Object Segments
Pedro O. Pinheiro, Tsung-Yi Lin, Ronan Collobert +1
Object segmentation requires both object-level information and low-level pixel data. This presents a challenge for feedforward networks: lower layers in convolutional nets capture…
ProNet: Learning to Propose Object-specific Boxes for Cascaded Neural Networks
Chen Sun, Manohar Paluri, Ronan Collobert +2
This paper aims to classify and locate objects accurately and efficiently, without using bounding box annotations. It is challenging as objects in the wild could appear at arbitrar…
Learning to Segment Object Candidates
Pedro O. Pinheiro, Ronan Collobert, Piotr Dollar
Recent object detection systems rely on two critical steps: (1) a set of object proposals is predicted as efficiently as possible, and (2) this set of candidate proposals is then p…
From Image-level to Pixel-level Labeling with Convolutional Networks
Pedro O. Pinheiro, Ronan Collobert
We are interested in inferring object segmentation by leveraging only object class information, and by considering only minimal priors on the object segmentation task. This problem…
Recurrent Convolutional Neural Networks for Scene Parsing
Pedro H. O. Pinheiro, Ronan Collobert
Scene parsing is a technique that consist on giving a label to all pixels in an image according to the class they belong to. To ensure a good visual coherence and a high class accu…