Generalized Zero-Shot Object Detection

Benchmarks archive 2025-07-28

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Libraries

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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

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Most implemented papers archive 2025-07-28

8 shown of 8 papers with code (10 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.

• Polarity Loss for Zero-shot Object Detection
  22 Nov 2018 3 repositories listed
  This setting gives rise to the need for correct alignment between visual and semantic concepts, so that the unseen objects can be identified using only their semantic attributes.
• Synthesizing the Unseen for Zero-shot Object Detection
  19 Oct 2020 2 repositories listed
  The existing zero-shot detection approaches project visual features to the semantic domain for seen objects, hoping to map unseen objects to their corresponding semantics during inference.
• Synthesizing Knowledge-enhanced Features for Real-world Zero-shot Food Detection
  14 Feb 2024 1 repository listed
  The complexity of food semantic attributes further makes it more difficult for current ZSD methods to distinguish various food categories.
• SeeDS: Semantic Separable Diffusion Synthesizer for Zero-shot Food Detection
  7 Oct 2023 1 repository listed
  To tackle this, we propose the Semantic Separable Diffusion Synthesizer (SeeDS) framework for Zero-Shot Food Detection (ZSFD).
• Resolving Semantic Confusions for Improved Zero-Shot Detection
  12 Dec 2022 1 repository listed
  Zero-shot detection (ZSD) is a challenging task where we aim to recognize and localize objects simultaneously, even when our model has not been trained with visual samples of a few target ("unseen") classes.
• From Node to Graph: Joint Reasoning on Visual-Semantic Relational Graph for Zero-Shot Detection
  15 Feb 2022 1 repository listed
  Zero-Shot Detection (ZSD), which aims at localizing andrecognizing unseen objects in a complicated scene, usuallyleverages the visual and semantic information of individ-ual objects alone.
• Robust Region Feature Synthesizer for Zero-Shot Object Detection
  1 Jan 2022 1 repository listed Syntology ran 1 of 2 samples · 1 unverified · 2 pointer-only (licence)
  Zero-shot object detection aims at incorporating class semantic vectors to realize the detection of (both seen and) unseen classes given an unconstrained test image.
• Background Learnable Cascade for Zero-Shot Object Detection
  9 Oct 2020 1 repository listed
  The major contributions for BLC are as follows: (i) we propose a multi-stage cascade structure named Cascade Semantic R-CNN to progressively refine the alignment between visual and semantic of ZSD; (ii) we develop the…

Syntology lines on 1 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.