Browse State-of-the-Art › Object Proposal Generation
Object Proposal Generation
21 papers with code · 2 benchmarks · 3 datasets archive 2025-07-28
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 )
Description from the archive archive 2025-07-28.
Benchmarks archive 2025-07-28
2 leaderboard tables shown for this task, 2 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.
| Dataset | Best model (first row in archive order) | Paper | Code | Syntology | Compare |
|---|---|---|---|---|---|
| PASCAL VOC 2012, 60 proposals per image (3 rows) | MDef-DETR | Class-agnostic Object Detection with Multi-modal Transformer | code | — | Compare |
| COCO (Common Objects in Context) (1 row) | MDef-DETR (Off-the-shelf evaluation) | Class-agnostic Object Detection with Multi-modal Transformer | code | — | Compare |
Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.
Libraries
Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.
Datasets archive 2025-07-28
3 datasets whose archive record lists this task, ordered by the archive's paper count.
Subtasks archive 2025-07-28
No subtask under this task in the archive's task tree.
Parent tasks archive 2025-07-28
Most implemented papers archive 2025-07-28
21 shown of 21 papers with code (54 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.
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11 Dec 2018 13 repositories listed Syntology ran 5 of 9 samples · 4 unverified · 4 pointer-only (licence)In this paper, we propose PointRCNN for 3D object detection from raw point cloud.
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27 May 2017 11 repositories listed Syntology ran 3 of 7 samples · 4 unverified · 4 pointer-only (licence)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…
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23 Nov 2016 3 repositories listed Syntology ran 0 of 3 samples · 3 unverified · 3 pointer-only (licence)We encode the sparse 3D point cloud with a compact multi-view representation.
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22 Dec 2017 2 repositories listedWe introduce a differentiable, end-to-end trainable framework for solving pixel-level grouping problems such as instance segmentation consisting of two novel components.
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28 May 2024 1 repository listed Syntology ran 7 of 7 samples · 0 unverifiedFurthermore, the weight adapter optimizes weights to enhance the distinctiveness of instance embeddings during similarity computation.
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1 Sep 2023 1 repository listedObject proposal generation serves as a standard pre-processing step in Vision-Language (VL) tasks (image captioning, visual question answering, etc.).
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21 Jun 2023 1 repository listedIn this paper, we propose a speed-up alternative method for this fundamental task with comparable performance.
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11 May 2023 1 repository listedOn the other hand, unknown objects, which have not been seen in training sample set, are one of the reasons that hinder autonomous vehicles from driving beyond the operational domain.
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29 Sep 2022 1 repository listed Syntology ran 2 of 3 samples · 1 unverified · 3 pointer-only (licence)Our voting-based tracklet generation method followed by geometric feature-based aggregation generates significantly improved panoptic LiDAR segmentation quality when compared to modeling the entire 4D volume using…
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22 Nov 2021 1 repository listedThis has been a long-standing question in computer vision.
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12 Jan 2021 1 repository listedPrecise segmentation of objects is an important problem in tasks like class-agnostic object proposal generation or instance segmentation.
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21 Dec 2020 1 repository listedIn this paper, we propose Pointformer, a Transformer backbone designed for 3D point clouds to learn features effectively.
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1 Dec 2020 1 repository listedIn this paper, we propose a unified WSOD framework, termed UWSOD, to develop a high-capacity general detection model with only image-level labels, which is self-contained and does not require external modules or…
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21 Nov 2018 1 repository listedWe propose a novel approach for class-agnostic object proposal generation, which is efficient and especially well-suited to detect small objects.
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9 Apr 2018 1 repository listedSemantic edge detection (SED), which aims at jointly extracting edges as well as their category information, has far-reaching applications in domains such as semantic segmentation, object proposal generation, and object…
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12 Apr 2017 1 repository listedIn application domains such as robotics, it is useful to represent the uncertainty related to the robot's belief about the state of its environment.
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30 Mar 2017 1 repository listedWe 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.
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18 Apr 2016 1 repository listedMoreover, on general image retrieval datasets, SCDA achieves comparable retrieval results with state-of-the-art general image retrieval approaches.
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26 Feb 2016 1 repository listed Syntology ran 0 of 1 samples · 1 unverifiedVideo 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.
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28 Apr 2015 1 repository listedWith 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…
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3 Mar 2015 1 repository listedWe propose a unified approach for bottom-up hierarchical image segmentation and object proposal generation for recognition, called Multiscale Combinatorial Grouping (MCG).
Syntology lines on 6 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.
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