Implement Yolo-LSTM (~+4-9 AP) for detection on Video with high mAP and without blinking issues
Implement Yolo-LSTM detection network that will be trained on Video-frames for mAP increasing and solve blinking issues. * https://arxiv.org/abs/1705.06368v3 * https://arxiv.org/abs/1506.04214v2 * Multi-object Tracking with Neural Gating Using Bilinear LSTM: https://web.engr.oregonstate.edu/~lif/1925.pdf ---- Think about - can we use Transformer (Vaswani et al., 2017) / GPT2 / BERT for frame-sequences instead of word-sequences https://d4mucfpksywv.cloudfront.net/better-language-models/language_models_are_unsupervised_multitask_learners.pdf and https://vk.com/away.php?to=https%3A%2F%2Farxiv.org%2Fpdf%2F1706.03762.pdf&cc_key= Or can we use Transformer-XL https://arxiv.org/abs/1901.02860v2 or UNIVERSAL TRANSFORMERS https://arxiv.org/abs/1807.03819v3 for Long-time sequences?
Posted by AlexeyAB on May 7, 2019, 8:23 PM
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[UPDATE NOW] PHP RCE Vulnerability (CVE-2026-109618 and CVE-2026-109619)
Server requests and latency increased after upgrading from Next.js 15 to 16
Leak of Geedge Networks internal documents (100,000+ from Jira, Confluence, GitLab)
Can't download videos from YouTube on cobalt.tools
`google_service_networking_connection` produce an error when trying to destroy the resource
WebGPU-based renderer for the editor
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Implement Yolo-LSTM (~+4-9 AP) for detection on Video with high mAP and without blinking issues
Implement Yolo-LSTM detection network that will be trained on Video-frames for mAP increasing and solve blinking issues. * https://arxiv.org/abs/1705.06368v3 * https://arxiv.org/abs/1506.04214v2 * Multi-object Tracking with Neural Gating Using Bilinear LSTM: https://web.engr.oregonstate.edu/~lif/1925.pdf ---- Think about - can we use Transformer (Vaswani et al., 2017) / GPT2 / BERT for frame-sequences instead of word-sequences https://d4mucfpksywv.cloudfront.net/better-language-models/language_models_are_unsupervised_multitask_learners.pdf and https://vk.com/away.php?to=https%3A%2F%2Farxiv.org%2Fpdf%2F1706.03762.pdf&cc_key= Or can we use Transformer-XL https://arxiv.org/abs/1901.02860v2 or UNIVERSAL TRANSFORMERS https://arxiv.org/abs/1807.03819v3 for Long-time sequences?
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