The goal of the Kinetics dataset is to help the computer vision and machine learning communities advance models for video understanding. Given this large human action classification dataset, it may be possible to learn powerful video representations that transfer to different video tasks.
The Kinetics-700-2020 dataset will be used for this challenge. Kinetics-700-2020 is a large-scale, high-quality dataset of YouTube video URLs which include a diverse range of human focused actions. The aim of the Kinetics dataset is to help the machine learning community create more advanced models for video understanding. It is an approximate super-set of both Kinetics-400, released in 2017, Kinetics-600, released in 2018 and Kinetics-700, released in 2019.
The dataset consists of approximately 650,000 video clips, and covers 700 human action classes with at least 700 video clips for each action class. Each clip lasts around 10 seconds and is labeled with a single class. All of the clips have been through multiple rounds of human annotation, and each is taken from a unique YouTube video. The actions cover a broad range of classes including human-object interactions such as playing instruments, as well as human-human interactions such as shaking hands and hugging.
More information about how to download the Kinetics dataset is available here.
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Set against the backdrop of a congested yet vibrant Mumbai chawl (a multi-story tenement), CharmSukh explores the intertwined lives of its residents. Unlike polished high-budget productions, this series leans into raw, unfiltered narratives—focusing on themes of ambition, secrecy, and survival within a tight-knit community. CharmSukh Chawl House -2022- 720p S01 Complete ...
Disclaimer: This article provides an overview of the content and themes of the web series "Charmsukh Chawl House" based on publicly available information. If you'd like, I can provide more information on: Other popular titles on the ULLU app The "Charmsukh" anthology's overall theme
: The direction can significantly impact the show's overall feel. Are the episodes well-paced? How is the cinematography? Are there any standout moments or episodes?
The success of the series heavily relied on its cast, who brought the high-intensity drama to life: It is important to watch the series through
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CharmSukh Chawl House (2022) is a short-form Hindi web series from the CharmSukh anthology that fits within the adult-themed, episodic format popular on several streaming platforms. Set primarily in a cramped Mumbai chawl, the story centers on interpersonal tension, sexual desire, and power dynamics among neighbors and visitors. The series uses the chawl’s tight, communal living as both setting and symbol: crowded rooms and thin walls amplify intimacy, gossip, and conflict, while the close physical proximity forces characters into encounters that reveal private motives and moral compromises.
Subsequent 2022 chapters move the narrative forward, exploring what happens when the characters transition from the city chawl to a village setting, complicating their unresolved emotional and physical desires. Core Cast & Key Characters
Crucial for a show where whispers and overheard conversations drive the plot.
1. Possible to use ImageNet checkpoints?
We allow finetuning from public ImageNet checkpoints for the supervised track -- but a link to the specific checkpoint should be provided with each submission.
2. Possible to use optical flow?
Flow can be used as long as not trained on external datasets, except if they are synthetic.
3. Can we train on test data without labels (e.g. transductive)?
No.
4. Can we use semantic class label information?
Yes, for the supervised track.
5. Will there be special tracks for methods using fewer FLOPs / small models or just RGB vs RGB+Audio in the self-supervised track?
We will ask participants to provide the total number of model parameters and the modalities used and plan to create special mentions for those doing well in each setting, but not specific tracks.