Object Proposal Generation
14 papers with code • 1 benchmarks • 2 datasets
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 )
Benchmarks
| Trend | Dataset | Best Model | Paper Title | Paper | Code | Compare |
|---|---|---|---|---|---|---|
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PASCAL VOC
CocoDoom
Greatest papers with code
PointRCNN: 3D Object Proposal Generation and Detection from Point Cloud
sshaoshuai/PointCloudDet3D
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CVPR 2019
In this paper, we propose PointRCNN for 3D object detection from raw point cloud.
Ranked #2 on
Object Detection
on KITTI Cars Hard
Multi-View 3D Object Detection Network for Autonomous Driving
bostondiditeam/MV3D
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CVPR 2017
We encode the sparse 3D point cloud with a compact multi-view representation.
Multiscale Combinatorial Grouping for Image Segmentation and Object Proposal Generation
We propose a unified approach for bottom-up hierarchical image segmentation and object proposal generation for recognition, called Multiscale Combinatorial Grouping (MCG).
CASENet: Deep Category-Aware Semantic Edge Detection
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.
Ranked #1 on
Edge Detection
on Cityscapes test
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.
AttentionMask: Attentive, Efficient Object Proposal Generation Focusing on Small Objects
We propose a novel approach for class-agnostic object proposal generation, which is efficient and especially well-suited to detect small objects.
3D Object Detection with Pointformer
Vladimir2506/Pointformer
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CVPR 2021
In this paper, we propose Pointformer, a Transformer backbone designed for 3D point clouds to learn features effectively.
Semantic Instance Segmentation via Deep Metric Learning
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.
Superpixel-based Refinement for Object Proposal Generation
Precise segmentation of objects is an important problem in tasks like class-agnostic object proposal generation or instance segmentation.
Seq-NMS for Video Object Detection
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.
