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Object Proposal Generation

7 papers with code · Computer Vision
Subtask of Object Detection

Object proposal generation is a preprocessing technique that has been widely used in current object detection pipelines to guide the search of objects and avoid exhaustive sliding window search across images.

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Greatest papers with code

Multiscale Combinatorial Grouping for Image Segmentation and Object Proposal Generation

3 Mar 2015jponttuset/mcg

We propose a unified approach for bottom-up hierarchical image segmentation and object proposal generation for recognition, called Multiscale Combinatorial Grouping (MCG).

OBJECT PROPOSAL GENERATION SEMANTIC SEGMENTATION

CASENet: Deep Category-Aware Semantic Edge Detection

CVPR 2017 Lavender105/DFF

To this end, we propose a novel end-to-end deep semantic edge learning architecture based on ResNet and a new skip-layer architecture where category-wise edge activations at the top convolution layer share and are fused with the same set of bottom layer features.

EDGE DETECTION OBJECT PROPOSAL GENERATION SEMANTIC SEGMENTATION

Semantic Instance Segmentation via Deep Metric Learning

30 Mar 2017alicranck/instance-seg

We propose a new method for semantic instance segmentation, by first computing how likely two pixels are to belong to the same object, and then by grouping similar pixels together.

INSTANCE SEGMENTATION METRIC LEARNING OBJECT PROPOSAL GENERATION SEMANTIC SEGMENTATION

Deep Learning for Generic Object Detection: A Survey

6 Sep 2018TuoniTuoni/causal-inference

Object detection, one of the most fundamental and challenging problems in computer vision, seeks to locate object instances from a large number of predefined categories in natural images.

OBJECT PROPOSAL GENERATION