Object Categorization

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

1 leaderboard table shown for this task, 1 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.

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

2 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.

Most implemented papers archive 2025-07-28

25 shown of 25 papers with code (80 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.

• Learning Transferable Visual Models From Natural Language Supervision
  26 Feb 2021 82 repositories listed Syntology ran 16 of 20 samples · 4 unverified · 16 pointer-only (licence)
  State-of-the-art computer vision systems are trained to predict a fixed set of predetermined object categories.
• SegNet: A Deep Convolutional Encoder-Decoder Architecture for Robust Semantic Pixel-Wise Labelling
  27 May 2015 5 repositories listed
  These methods lack a mechanism to map deep layer feature maps to input dimensions.
• OFA: Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning Framework
  7 Feb 2022 4 repositories listed Syntology ran 1 of 1 samples · 0 unverified
  In this work, we pursue a unified paradigm for multimodal pretraining to break the scaffolds of complex task/modality-specific customization.
• Cost-Effective Active Learning for Deep Image Classification
  13 Jan 2017 4 repositories listed Syntology ran 2 of 13 samples · 11 unverified · 2 pointer-only (licence)
  In this paper, we propose a novel active learning framework, which is capable of building a competitive classifier with optimal feature representation via a limited amount of labeled training instances in an incremental…
• Unsupervised Domain Adaptation through Inter-modal Rotation for RGB-D Object Recognition
  21 Apr 2020 3 repositories listed Syntology ran 5 of 10 samples · 5 unverified · 4 pointer-only (licence)
  Unsupervised Domain Adaptation (DA) exploits the supervision of a label-rich source dataset to make predictions on an unlabeled target dataset by aligning the two data distributions.
• Brain-Like Object Recognition with High-Performing Shallow Recurrent ANNs
  13 Sep 2019 2 repositories listed Syntology ran 3 of 3 samples · 0 unverified · 3 pointer-only (licence)
  Deep convolutional artificial neural networks (ANNs) are the leading class of candidate models of the mechanisms of visual processing in the primate ventral stream.
• Part-Aware Fine-grained Object Categorization using Weakly Supervised Part Detection Network
  16 Jun 2018 2 repositories listed
  In this work, we propose a Weakly Supervised Part Detection Network (PartNet) that is able to detect discriminative local parts for use of fine-grained categorization.
• Data augmentation instead of explicit regularization
  11 Jun 2018 2 repositories listed
  Despite the fact that some (explicit) regularization techniques, such as weight decay and dropout, require costly fine-tuning of sensitive hyperparameters, the interplay between them and other elements that provide…
• Deep Learning Human Mind for Automated Visual Classification
  1 Sep 2016 2 repositories listed
  In particular, we employ EEG data evoked by visual object stimuli combined with Recurrent Neural Networks (RNN) to learn a discriminative brain activity manifold of visual categories.
• Vision CNNs trained to estimate spatial latents learned similar ventral-stream-aligned representations
  12 Dec 2024 1 repository listed Syntology ran 0 of 4 samples · 4 unverified
  Studies of the functional role of the primate ventral visual stream have traditionally focused on object categorization, often ignoring -- despite much prior evidence -- its role in estimating "spatial" latents such as…
• Vocabulary-informed Zero-shot and Open-set Learning
  3 Jan 2023 1 repository listed
  Despite significant progress in object categorization, in recent years, a number of important challenges remain; mainly, the ability to learn from limited labeled data and to recognize object classes within large,…
• Roboflow 100: A Rich, Multi-Domain Object Detection Benchmark
  24 Nov 2022 1 repository listed Syntology ran 0 of 1 samples · 1 unverified
  The evaluation of object detection models is usually performed by optimizing a single metric, e.
• Enhancing Fine-Grained 3D Object Recognition using Hybrid Multi-Modal Vision Transformer-CNN Models
  3 Oct 2022 1 repository listed
  Robots operating in human-centered environments, such as retail stores, restaurants, and households, are often required to distinguish between similar objects in different contexts with a high degree of accuracy.
• GRIT: General Robust Image Task Benchmark
  28 Apr 2022 1 repository listed Syntology ran 2 of 2 samples · 0 unverified
  Computer vision models excel at making predictions when the test distribution closely resembles the training distribution.
• Category-orthogonal object features guide information processing in recurrent neural networks trained for object categorization
  15 Nov 2021 1 repository listed Syntology ran 1 of 1 samples · 0 unverified
  Recurrent neural networks (RNNs) have been shown to perform better than feedforward architectures in visual object categorization tasks, especially in challenging conditions such as cluttered images.
• IAUnet: Global Context-Aware Feature Learning for Person Re-Identification
  2 Sep 2020 1 repository listed
  Furthermore, a Channel IAU (CIAU) module is designed to model the semantic contextual interactions between channel features to enhance the feature representation, especially for small-scale visual cues and body parts.
• Learning Physical Graph Representations from Visual Scenes
  22 Jun 2020 1 repository listed
  To overcome these limitations, we introduce the idea of Physical Scene Graphs (PSGs), which represent scenes as hierarchical graphs, with nodes in the hierarchy corresponding intuitively to object parts at different…
• Learning robust visual representations using data augmentation invariance
  11 Jun 2019 1 repository listed
  Deep convolutional neural networks trained for image object categorization have shown remarkable similarities with representations found across the primate ventral visual stream.
• Improved object recognition using neural networks trained to mimic the brain's statistical properties
  25 May 2019 1 repository listed
  To test this, we trained DCNNs on a composite task, wherein networks were trained to: a) classify images of objects; while b) having intermediate representations that resemble those observed in neural recordings from…
• Recurrent Convolutional Fusion for RGB-D Object Recognition
  5 Jun 2018 1 repository listed
  Providing machines with the ability to recognize objects like humans has always been one of the primary goals of machine vision.
• Are we done with object recognition? The iCub robot's perspective
  28 Sep 2017 1 repository listed
  We report on an extensive study of the benefits and limitations of current deep learning approaches to object recognition in robot vision scenarios, introducing a novel dataset used for our investigation.
• Learning Deep Visual Object Models From Noisy Web Data: How to Make it Work
  28 Feb 2017 1 repository listed
  We contribute to this research thread with two findings: (1) a study correlating a given level of noisily labels to the expected drop in accuracy, for two deep architectures, on two different types of noise, that…
• Systematic evaluation of CNN advances on the ImageNet
  7 Jun 2016 1 repository listed
  The paper systematically studies the impact of a range of recent advances in CNN architectures and learning methods on the object categorization (ILSVRC) problem.
• RotationNet: Joint Object Categorization and Pose Estimation Using Multiviews from Unsupervised Viewpoints
  20 Mar 2016 1 repository listed
  We propose a Convolutional Neural Network (CNN)-based model "RotationNet," which takes multi-view images of an object as input and jointly estimates its pose and object category.
• Collaborative Receptive Field Learning
  2 Feb 2014 1 repository listed
  However, measuring pairwise distance of RF's for building the similarity graph is a nontrivial problem.

Syntology lines on 9 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.