The AT‑ADD competition, organized for ACM MM 2026, invites researchers to develop robust audio deepfake detection models across speech, environmental sounds, singing, and music, providing diverse real‑world datasets, baseline code, clear evaluation metrics, and a two‑stage submission process to advance AI security.
The NTIRE 2025 XGC AI‑Generated Video Quality Assessment Challenge, hosted at the CVPR workshop, invites participants to build VQA models that predict mean opinion scores for 34,029 AI‑generated videos created from 4,689 prompts using 14 generation models, with training, validation, and test splits provided as JSON, and submissions evaluated by the average of PLCC and SROCC, while key dates run from February 5 to June 15 2025 and prize money up to $1,200 is offered.
This article explains the 1 Billion Row Challenge (1BRC) for Java 21, detailing the data format, required output, how to build and run the benchmark, optimization options, submission rules, and the evaluation environment used to rank participants.
The 2023 Chinese Continuous Visual Speech Recognition Challenge (CNVSRC), organized by Tsinghua University and partners, introduces the large-scale CN-CVS dataset, defines single- and multi-speaker lip‑reading tasks, provides baseline Conformer models, outlines registration, data access, evaluation metrics, and competition schedule.
The ICCV 2021 LargeFineFoodAI online seminar, co‑hosted by Meituan Vision Intelligence, CAS Computing Institute, Beijing Zhiyuan and the University of Barcelona, featured talks on personalized food models, multimedia dietary guidance, and uncertainty‑aware recognition, introduced a 1,000‑category, 500k‑image dataset, and ran a challenge with 143 teams competing in fine‑grained food recognition and retrieval, highlighting top‑ranked entries from Joyy‑cv, NJUST‑PCALab, OPPO, DeepBlueAI and others.
At ICCV 2021 in Montreal, the LargeFineFoodAI workshop—co‑organized by Meituan Vision Intelligence Center, the Chinese Academy of Sciences, Beijing Zhiyuan and the University of Barcelona—will showcase state‑of‑the‑art fine‑grained food image research, feature invited speakers Jain, Aizawa and Radeva, and host a $12,000 prize challenge on Food2K across recognition and retrieval tracks.
The iQIYI M2VoC Challenge at ICASSP 2021 invites researchers to tackle low‑resource multi‑speaker, multi‑style voice cloning by providing Mandarin datasets, few‑shot and extremely few‑shot tracks with strict data rules, MOS‑based subjective evaluation, and a $9,600 prize pool for top submissions.
The CVPR 2019 WAD Autonomous Driving Challenge, hosted in Long Beach, introduces four new tasks—including object‑detection and tracking transfer‑learning tracks using Didi’s massive D²‑City and Berkeley’s BDD100K datasets, plus a large‑scale detection interpolation track—aimed at advancing vision algorithms under diverse, difficult driving conditions, with global teams invited to register by May 31 and winners announced at the workshop on June 17.
The AVS Working Group, backed by iQIYI, has launched the Deep Learning Based Video Coding Loop Filter Challenge to spur research on AI‑driven loop filters that can cut bitrate by over 15%, inviting participants to submit Caffe models on the TAVS3 platform with ongoing benchmarking and potential prizes, while encouraging contributions to the upcoming AVS video coding standard.
