Temporal Forgery Localization

Benchmarks archive 2025-07-28

No benchmark for this task in the archive.

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

4 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

7 shown of 7 papers with code (9 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.

• Weakly-supervised Audio Temporal Forgery Localization via Progressive Audio-language Co-learning Network
  3 May 2025 1 repository listed
  Audio temporal forgery localization (ATFL) aims to find the precise forgery regions of the partial spoof audio that is purposefully modified.
• AV-Deepfake1M: A Large-Scale LLM-Driven Audio-Visual Deepfake Dataset
  26 Nov 2023 1 repository listed
  The comprehensive benchmark of the proposed dataset utilizing state-of-the-art deepfake detection and localization methods indicates a significant drop in performance compared to previous datasets.
• UMMAFormer: A Universal Multimodal-adaptive Transformer Framework for Temporal Forgery Localization
  28 Aug 2023 1 repository listed
  Our approach introduces a Temporal Feature Abnormal Attention (TFAA) module based on temporal feature reconstruction to enhance the detection of temporal differences.
• Glitch in the Matrix: A Large Scale Benchmark for Content Driven Audio-Visual Forgery Detection and Localization
  3 May 2023 1 repository listed
  The proposed baseline method, Boundary Aware Temporal Forgery Detection (BA-TFD), is a 3D Convolutional Neural Network-based architecture which effectively captures multimodal manipulations.
• Do You Really Mean That? Content Driven Audio-Visual Deepfake Dataset and Multimodal Method for Temporal Forgery Localization
  13 Apr 2022 1 repository listed
  Our baseline method for benchmarking the proposed dataset is a 3DCNN model, termed as Boundary Aware Temporal Forgery Detection (BA-TFD), which is guided via contrastive, boundary matching, and frame classification loss…
• ForgeryNet: A Versatile Benchmark for Comprehensive Forgery Analysis
  9 Mar 2021 1 repository listed
  To counter this emerging threat, we construct the ForgeryNet dataset, an extremely large face forgery dataset with unified annotations in image- and video-level data across four tasks: 1) Image Forgery Classification,…
• Not made for each other- Audio-Visual Dissonance-based Deepfake Detection and Localization
  29 May 2020 1 repository listed Syntology ran 1 of 2 samples · 1 unverified · 2 pointer-only (licence)
  MDS is computed as an aggregate of dissimilarity scores between audio and visual segments in a video.

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.