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Term: September 29, 2025
Intelligent Systems: 35th Brazilian Conference, BRACIS 2025, Fortaleza-CE, Brazi
Health & Beauty.
Intelligent Systems: 35th Brazilian Conference, BRACIS 2025, Fortaleza-CE, Brazi
Health & Beauty.
Intelligent Systems: 35th Brazilian Conference, BRACIS 2025, Fortaleza-CE, Brazi
Health & Beauty.
Intelligent Systems: 35th Brazilian Conference, BRACIS 2025, Fortaleza-CE, Brazi
Health & Beauty.
Computer Vision ECCV 2024 Workshops: Milan, Italy, September 29-October 4, 2024,
Subtitle Milan, Italy, September 29–October 4, 2024, Proceedings, Part XIX. Practical Dataset Distillation Based on Deep Support Vectors. – DiM: Distilling Dataset into Generative Model. – Data-Efficient Generation for Dataset Distillation.
Computer Vision ECCV 2024 Workshops: Milan, Italy, September 29-October 4, 2024,
Subtitle Milan, Italy, September 29–October 4, 2024, Proceedings, Part XIX. Practical Dataset Distillation Based on Deep Support Vectors. – DiM: Distilling Dataset into Generative Model. – Data-Efficient Generation for Dataset Distillation.
Computer Vision ECCV 2024 Workshops: Milan, Italy, September 29-October 4, 2024,
Subtitle Milan, Italy, September 29–October 4, 2024, Proceedings, Part XI. DARES: Depth Anything in Robotic Endoscopic Surgery with Self-supervised Vector LoRA of the Foundation Model. – LocalMamba: Visual State Space Model with Windowed Selective Scan.
Computer Vision ECCV 2024 Workshops: Milan, Italy, September 29-October 4, 2024,
Subtitle Milan, Italy, September 29–October 4, 2024, Proceedings, Part XI. DARES: Depth Anything in Robotic Endoscopic Surgery with Self-supervised Vector LoRA of the Foundation Model. – LocalMamba: Visual State Space Model with Windowed Selective Scan.
Computer Vision ECCV 2024 Workshops: Milan, Italy, September 29-October 4, 2024,
Subtitle Milan, Italy, September 29–October 4, 2024, Proceedings, Part IX. – Lightweight Deep Learning Model for Defective Pixel Detection and Recovery from the Image Sensors. – IPAdapter-Instruct: Resolving Ambiguity in Image-based Conditioning using Instruct Prompts.