Food Recognition

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

9 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

12 shown of 12 papers with code (49 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.

• ChefFusion: Multimodal Foundation Model Integrating Recipe and Food Image Generation
  18 Sep 2024 1 repository listed
  Significant work has been conducted in the domain of food computing, yet these studies typically focus on single tasks such as t2t (instruction generation from food titles and ingredients), i2t (recipe generation from…
• Res-VMamba: Fine-Grained Food Category Visual Classification Using Selective State Space Models with Deep Residual Learning
  24 Feb 2024 1 repository listed Syntology ran 3 of 3 samples · 0 unverified · 3 pointer-only (licence)
  Our findings elucidate that our proposed methodology establishes a new benchmark for SOTA performance in food recognition on the CNFOOD-241 dataset.
• Feature-Suppressed Contrast for Self-Supervised Food Pre-training
  7 Aug 2023 1 repository listed
  As the similar contents of the two views are salient or highly responsive in the feature map, the proposed FeaSC uses a response-aware scheme to localize salient features in an unsupervised manner.
• A Central Asian Food Dataset for Personalized Dietary Interventions, Extended Abstract
  12 May 2023 1 repository listed
  Nowadays, it is common for people to take photographs of every beverage, snack, or meal they eat and then post these photographs on social media platforms.
• A Central Asian Food Dataset for Personalized Dietary Interventions
  31 Mar 2023 1 repository listed
  Nowadays, it is common for people to take photographs of every beverage, snack, or meal they eat and then post these photographs on social media platforms.
• Vision and Structured-Language Pretraining for Cross-Modal Food Retrieval
  8 Dec 2022 1 repository listed
  Finally, we validate the generalization of the approach to other tasks (i.
• Food Ingredients Recognition through Multi-label Learning
  24 Oct 2022 1 repository listed
  Within this framework, we focus on one of the core functionalities to visually recognize various ingredients.
• Learning Multi-Subset of Classes for Fine-Grained Food Recognition
  10 Oct 2022 1 repository listed
  We validated our proposed method using two recent state-of-the-art vision transformers on three public food recognition datasets.
• Mining Discriminative Food Regions for Accurate Food Recognition
  8 Jul 2022 1 repository listed
  Taking inspiration from Adversarial Erasing, a strategy that progressively discovers discriminative object regions for weakly supervised semantic segmentation, we propose a novel network architecture in which a primary…
• Deep learning approaches in food recognition
  4 Apr 2020 1 repository listed
  Automatic image-based food recognition is a particularly challenging task.
• NU-InNet: Thai Food Image Recognition Using Convolutional Neural Networks on Smartphone
  1 Aug 2017 1 repository listed
  In this paper, the image recognition for Thai food using a smartphone is studied.
• ChineseFoodNet: A large-scale Image Dataset for Chinese Food Recognition
  8 May 2017 1 repository listed
  In this paper, we introduce a new and challenging large-scale food image dataset called "ChineseFoodNet", which aims to automatically recognizing pictured Chinese dishes.

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.