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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.

( Image credit: Multiscale Combinatorial Grouping for Image Segmentation and Object Proposal Generation )

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Datasets

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).

BSDS500 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

Recurrent Pixel Embedding for Instance Grouping

CVPR 2018 aimerykong/Recurrent-Pixel-Embedding-for-Instance-Grouping

We introduce a differentiable, end-to-end trainable framework for solving pixel-level grouping problems such as instance segmentation consisting of two novel components.

BOUNDARY DETECTION INSTANCE SEGMENTATION OBJECT PROPOSAL GENERATION SEMANTIC SEGMENTATION

AttentionMask: Attentive, Efficient Object Proposal Generation Focusing on Small Objects

21 Nov 2018chwilms/AttentionMask

We propose a novel approach for class-agnostic object proposal generation, which is efficient and especially well-suited to detect small objects.

OBJECT PROPOSAL GENERATION

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

Superpixel-based Refinement for Object Proposal Generation

12 Jan 2021chwilms/superpixelRefinement

Precise segmentation of objects is an important problem in tasks like class-agnostic object proposal generation or instance segmentation.

INSTANCE SEGMENTATION OBJECT PROPOSAL GENERATION SEMANTIC SEGMENTATION

Convolutional Channel Features

ICCV 2015 byangderek/CCF

With the combination of CNN features and boosting forest, CCF benefits from the richer capacity in feature representation compared with channel features, as well as lower cost in computation and storage compared with end-to-end CNN methods.

EDGE DETECTION FACE DETECTION OBJECT PROPOSAL GENERATION PEDESTRIAN DETECTION

Seq-NMS for Video Object Detection

26 Feb 2016tmoopenn/seq-nms

Video object detection is challenging because objects that are easily detected in one frame may be difficult to detect in another frame within the same clip.

CLASSIFICATION OBJECT CLASSIFICATION OBJECT PROPOSAL GENERATION OBJECT RECOGNITION VIDEO OBJECT DETECTION