Novel Object Detection

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

1 dataset 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

24 shown of 24 papers with code (53 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.

• Mamba YOLO: A Simple Baseline for Object Detection with State Space Model
  9 Jun 2024 2 repositories listed
  Our contributions are as follows: 1) We propose that the ODMamba backbone introduce a \textbf{S}tate \textbf{S}pace \textbf{M}odel (\textbf{SSM}) with linear complexity to address the quadratic complexity of…
• CoDeNet: Efficient Deployment of Input-Adaptive Object Detection on Embedded FPGAs
  12 Jun 2020 2 repositories listed
  Deploying deep learning models on embedded systems has been challenging due to limited computing resources.
• Grid R-CNN
  29 Nov 2018 2 repositories listed Syntology ran 0 of 3 samples · 3 unverified
  This paper proposes a novel object detection framework named Grid R-CNN, which adopts a grid guided localization mechanism for accurate object detection.
• Multi-Branch Auxiliary Fusion YOLO with Re-parameterization Heterogeneous Convolutional for accurate object detection
  5 Jul 2024 1 repository listed
  Meanwhile, the Advanced Assisted Fusion (AAF) module deeply embedded within the neck conveys a more diverse range of gradient information to the output layer.
• Knowledge Distillation in YOLOX-ViT for Side-Scan Sonar Object Detection
  14 Mar 2024 1 repository listed
  In this paper we present YOLOX-ViT, a novel object detection model, and investigate the efficacy of knowledge distillation for model size reduction without sacrificing performance.
• Fine-Grained Prototypes Distillation for Few-Shot Object Detection
  15 Jan 2024 1 repository listed
  However, the class-level prototypes are difficult to precisely generate, and they also lack detailed information, leading to instability in performance.
• Enhancing Novel Object Detection via Cooperative Foundational Models
  19 Nov 2023 1 repository listed
  We present a novel approach to transform existing closed-set detectors into open-set detectors.
• Beyond the Benchmark: Detecting Diverse Anomalies in Videos
  3 Oct 2023 1 repository listed
  MFAD excels in both simple and complex anomaly detection scenarios.
• DST-Det: Simple Dynamic Self-Training for Open-Vocabulary Object Detection
  2 Oct 2023 1 repository listed
  We refer to this approach as the self-training strategy, which enhances recall and accuracy for novel classes without requiring extra annotations, datasets, and re-training.
• Chasing Day and Night: Towards Robust and Efficient All-Day Object Detection Guided by an Event Camera
  17 Sep 2023 1 repository listed
  The ability to detect objects in all lighting (i.
• DesCo: Learning Object Recognition with Rich Language Descriptions
  24 Jun 2023 1 repository listed Syntology ran 3 of 4 samples · 1 unverified · 4 pointer-only (licence)
  In fact, our experiments show that GLIP, the state-of-the-art vision-language model for object detection, often disregards contextual information in the language descriptions and instead relies heavily on detecting…
• Learning to Discover and Detect Objects
  19 Oct 2022 1 repository listed Syntology ran 0 of 1 samples · 1 unverified
  We then train our network to learn to classify each RoI, either as one of the known classes, seen in the source dataset, or one of the novel classes, with a long-tail distribution constraint on the class assignments,…
• Scaling Novel Object Detection with Weakly Supervised Detection Transformers
  11 Jul 2022 1 repository listed
  A critical object detection task is finetuning an existing model to detect novel objects, but the standard workflow requires bounding box annotations which are time-consuming and expensive to collect.
• CvT-ASSD: Convolutional vision-Transformer Based Attentive Single Shot MultiBox Detector
  24 Oct 2021 1 repository listed
  Due to the success of Bidirectional Encoder Representations from Transformers (BERT) in natural language process (NLP), the multi-head attention transformer has been more and more prevalent in computer-vision researches…
• A Unified Objective for Novel Class Discovery
  19 Aug 2021 1 repository listed Syntology ran 4 of 4 samples · 0 unverified
  In this paper, we study the problem of Novel Class Discovery (NCD).
• SaRNet: A Dataset for Deep Learning Assisted Search and Rescue with Satellite Imagery
  26 Jul 2021 1 repository listed
  Access to high resolution satellite imagery has dramatically increased in recent years as several new constellations have entered service.
• Instance Segmentation of Microscopic Foraminifera
  15 May 2021 1 repository listed
  The model achieves a (COCO-style) average precision of 0.
• Universal-Prototype Enhancing for Few-Shot Object Detection
  1 Mar 2021 1 repository listed
  Thus, we develop a new framework of few-shot object detection with universal prototypes ({FSOD}^{up}) that owns the merit of feature generalization towards novel objects.
• Open-World Semi-Supervised Learning
  6 Feb 2021 1 repository listed
  Here, we introduce a novel open-world semi-supervised learning setting that formalizes the notion that novel classes may appear in the unlabeled test data.
• Automatic Signboard Detection and Localization in Densely Populated Developing Cities
  4 Mar 2020 1 repository listed
  We have taken an incremental approach in reaching our final proposed method through detailed evaluation and comparison with baselines using our constructed SVSO (Street View Signboard Objects) signboard dataset…
• Learning to Detect and Retrieve Objects from Unlabeled Videos
  27 May 2019 1 repository listed
  In this work, we propose to exploit the natural correlation in narrations and the visual presence of objects in video, to learn an object detector and retrieval without any manual labeling involved.
• CAD-Net: A Context-Aware Detection Network for Objects in Remote Sensing Imagery
  3 Mar 2019 1 repository listed
  This paper presents a novel object detection network (CAD-Net) that exploits attention-modulated features as well as global and local contexts to address the new challenges in detecting objects from remote sensing…
• Geometry-Based Region Proposals for Real-Time Robot Detection of Tabletop Objects
  14 Mar 2017 1 repository listed
  We present a novel object detection pipeline for localization and recognition in three dimensional environments.
• T-CNN: Tubelets with Convolutional Neural Networks for Object Detection from Videos
  9 Apr 2016 1 repository listed Syntology ran 0 of 1 samples · 1 unverified
  Temporal and contextual information of videos are not fully investigated and utilized.

Syntology lines on 5 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.