Object Localization

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

18 leaderboard tables shown for this task, 18 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. 10 shown of 18 until expanded.

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

18 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

5 subtasks in the archive's task tree.

Most implemented papers archive 2025-07-28

30 shown of 282 papers with code (617 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.

• Mask R-CNN
  20 Mar 2017 179 repositories listed Syntology ran 42 of 140 samples · 98 unverified · 23 pointer-only (licence)
  Our approach efficiently detects objects in an image while simultaneously generating a high-quality segmentation mask for each instance.
• Frustum PointNets for 3D Object Detection from RGB-D Data
  22 Nov 2017 68 repositories listed Syntology ran 2 of 4 samples · 2 unverified · 2 pointer-only (licence)
  In this work, we study 3D object detection from RGB-D data in both indoor and outdoor scenes.
• VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection
  17 Nov 2017 44 repositories listed Syntology ran 2 of 4 samples · 2 unverified · 4 pointer-only (licence)
  Accurate detection of objects in 3D point clouds is a central problem in many applications, such as autonomous navigation, housekeeping robots, and augmented/virtual reality.
• Microsoft COCO: Common Objects in Context
  1 May 2014 38 repositories listed Syntology ran 1 of 7 samples · 6 unverified
  We present a new dataset with the goal of advancing the state-of-the-art in object recognition by placing the question of object recognition in the context of the broader question of scene understanding.
• Learning Deep Features for Discriminative Localization
  14 Dec 2015 35 repositories listed Syntology ran 2 of 17 samples · 15 unverified · 3 pointer-only (licence)
  In this work, we revisit the global average pooling layer proposed in [13], and shed light on how it explicitly enables the convolutional neural network to have remarkable localization ability despite being trained on…
• CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features
  13 May 2019 30 repositories listed Syntology ran 17 of 24 samples · 7 unverified · 5 pointer-only (licence)
  Regional dropout strategies have been proposed to enhance the performance of convolutional neural network classifiers.
• Grad-CAM++: Improved Visual Explanations for Deep Convolutional Networks
  30 Oct 2017 24 repositories listed Syntology ran 4 of 7 samples · 3 unverified · 3 pointer-only (licence)
  Over the last decade, Convolutional Neural Network (CNN) models have been highly successful in solving complex vision problems.
• Domain Randomization for Transferring Deep Neural Networks from Simulation to the Real World
  20 Mar 2017 7 repositories listed Syntology ran 0 of 6 samples · 6 unverified
  Bridging the 'reality gap' that separates simulated robotics from experiments on hardware could accelerate robotic research through improved data availability.
• Learning Open-World Object Proposals without Learning to Classify
  15 Aug 2021 6 repositories listed Syntology ran 0 of 4 samples · 4 unverified
  In this paper, we identify that the problem is that the binary classifiers in existing proposal methods tend to overfit to the training categories.
• Locating Objects Without Bounding Boxes
  20 Jun 2018 6 repositories listed
  In these networks, the training procedure usually requires providing bounding boxes or the maximum number of expected objects.
• BOP Challenge 2020 on 6D Object Localization
  15 Sep 2020 5 repositories listed Syntology ran 4 of 30 samples · 26 unverified
  This paper presents the evaluation methodology, datasets, and results of the BOP Challenge 2020, the third in a series of public competitions organized with the goal to capture the status quo in the field of 6D object…
• Qwen2.5-VL Technical Report
  19 Feb 2025 4 repositories listed Syntology ran 2 of 3 samples · 1 unverified
  We introduce Qwen2.
• Smooth Grad-CAM++: An Enhanced Inference Level Visualization Technique for Deep Convolutional Neural Network Models
  3 Aug 2019 4 repositories listed Syntology ran 2 of 2 samples · 0 unverified · 2 pointer-only (licence)
  With the intention to create an enhanced visual explanation in terms of visual sharpness, object localization and explaining multiple occurrences of objects in a single image, we present Smooth Grad-CAM++…
• Bounding Box Regression with Uncertainty for Accurate Object Detection
  23 Sep 2018 4 repositories listed Syntology ran 0 of 4 samples · 4 unverified
  Large-scale object detection datasets (e.
• The Earth ain't Flat: Monocular Reconstruction of Vehicles on Steep and Graded Roads from a Moving Camera
  6 Mar 2018 4 repositories listed
  The proposed approach significantly improves the state-of-the-art for monocular object localization on arbitrarily-shaped roads.
• Prismatic VLMs: Investigating the Design Space of Visually-Conditioned Language Models
  12 Feb 2024 3 repositories listed Syntology ran 1 of 5 samples · 4 unverified · 4 pointer-only (licence)
  Visually-conditioned language models (VLMs) have seen growing adoption in applications such as visual dialogue, scene understanding, and robotic task planning; adoption that has fueled a wealth of new models such as…
• A Simple Single-Scale Vision Transformer for Object Localization and Instance Segmentation
  17 Dec 2021 3 repositories listed
  In this paper, we comprehensively study three architecture design choices on ViT -- spatial reduction, doubled channels, and multiscale features -- and demonstrate that a vanilla ViT architecture can fulfill this goal…
• DanceTrack: Multi-Object Tracking in Uniform Appearance and Diverse Motion
  29 Nov 2021 3 repositories listed
  A typical pipeline for multi-object tracking (MOT) is to use a detector for object localization, and following re-identification (re-ID) for object association.
• LayerCAM: Exploring Hierarchical Class Activation Maps for Localization
  22 Jun 2021 3 repositories listed
  To evaluate the quality of the class activation maps produced by LayerCAM, we apply them to weakly-supervised object localization and semantic segmentation.
• Eigen-CAM: Class Activation Map using Principal Components
  1 Aug 2020 3 repositories listed
  At the heart of this progress is convolutional neural networks (CNNs) that are capable of learning representations or features given a set of data.
• Learning to Segment from Scribbles using Multi-scale Adversarial Attention Gates
  2 Jul 2020 3 repositories listed
  We evaluated our model on several medical (ACDC, LVSC, CHAOS) and non-medical (PPSS) datasets, and we report performance levels matching those achieved by models trained with fully annotated segmentation masks.
• ScanRefer: 3D Object Localization in RGB-D Scans using Natural Language
  18 Dec 2019 3 repositories listed
  We introduce the task of 3D object localization in RGB-D scans using natural language descriptions.
• Dilated Residual Networks
  28 May 2017 3 repositories listed
  Convolutional networks for image classification progressively reduce resolution until the image is represented by tiny feature maps in which the spatial structure of the scene is no longer discernible.
• Hide-and-Seek: Forcing a Network to be Meticulous for Weakly-supervised Object and Action Localization
  13 Apr 2017 3 repositories listed
  We propose `Hide-and-Seek', a weakly-supervised framework that aims to improve object localization in images and action localization in videos.
• Active Object Localization with Deep Reinforcement Learning
  18 Nov 2015 3 repositories listed
  We present an active detection model for localizing objects in scenes.
• Mamba-FETrack: Frame-Event Tracking via State Space Model
  28 Apr 2024 2 repositories listed Syntology ran 11 of 11 samples · 0 unverified · 11 pointer-only (licence)
  Specifically, our Mamba-based tracker achieves 43.
• CPR++: Object Localization via Single Coarse Point Supervision
  30 Jan 2024 2 repositories listed
  CPR reduces the semantic variance by selecting a semantic centre point in a neighbourhood region to replace the initial annotated point.
• Background Activation Suppression for Weakly Supervised Object Localization and Semantic Segmentation
  22 Sep 2023 2 repositories listed
  In addition, our method also achieves state-of-the-art weakly supervised semantic segmentation performance on the PASCAL VOC 2012 and MS COCO 2014 datasets.
• MUSTER: A Multi-scale Transformer-based Decoder for Semantic Segmentation
  25 Nov 2022 2 repositories listed
  In recent works on semantic segmentation, there has been a significant focus on designing and integrating transformer-based encoders.
• Revisiting Color-Event based Tracking: A Unified Network, Dataset, and Metric
  20 Nov 2022 2 repositories listed
  In this paper, we propose a single-stage backbone network for Color-Event Unified Tracking (CEUTrack), which achieves the above functions simultaneously.

Syntology lines on 15 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.