PicoSAM3: Real-Time In-Sensor Region-of-Interest Segmentation

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References (48)

[1]
SAM 3: Segment Anything with Concepts
2025Nicolas Carion, Laura Gustafson et al.
[2]
PicoSAM2: Low-Latency Segmentation In-Sensor for Edge Vision Applications
2025Pietro Bonazzi, Nicola Farronato et al.
[3]
Preliminary analysis of the exploitation of QVAR sensor for gesture recognition
2025Alfonso Messina, Alessia Lazzaro et al.
[4]
A Real-Time Intelligent System Based on Machine-Learning Methods for Improving Communication in Sign Language
2025Víctor Leiva, Muhammad Zia Ur Rahman et al.
[5]
Simulation, Design, and Application of Intelligent-Edge-Based Soft Magnetic Tactile Sensor With Super-Resolution
2024Yanmin Zhou, Yijie Luo et al.
[6]
AviEar: An IoT-Based Low-Power Solution for Acoustic Monitoring of Avian Species
2024Ridhima Verma, Suman Kumar
[7]
Data Generation for Hardware-Friendly Post-Training Quantization
2024Lior Dikstein, Ariel Lapid et al.
[8]
Efficient Remote Sensing Image Target Detection Network With Shape-Location Awareness Enhancements
2024Fei Fan, Ming Zhang et al.
[9]
Design and Implementation of a ResNet-LSTM-Ghost Architecture for Gas Concentration Estimation of Electronic Noses
2024Guangfen Wei, Xiaoyu Liu et al.
[10]
Lite-SAM Is Actually What You Need for Segment Everything
2024Jianhai Fu, Yuanjie Yu et al.
[11]
Edge AI-Enabled Chicken Health Detection Based on Enhanced FCOS-Lite and Knowledge Distillation
2024Qiang Tong, Jinrui Wang et al.
[12]
Pedestrian Warning: Intelligent Vision Sensor vs. Edge AI with LTE C-V2X in a Smart City
2024Tao Cui, Zhaoyu Zhang et al.
[13]
Low Latency Visual Inertial Odometry With On-Sensor Accelerated Optical Flow for Resource-Constrained UAVs
2024Jonas Kühne, Michele Magno et al.
[14]
PTQ4SAM: Post-Training Quantization for Segment Anything
2024Chengtao Lv, Hong Chen et al.
[15]
A Novel Embedded Deep Learning Wearable Sensor for Fall Detection
2024Sara Campanella, Alaa Alnasef et al.
[16]
A Mixture-Gas Edge-Computing Multisensor Device With Generative Learning Framework
2024Jeonghoon Cho, Y. Pyeon et al.
[17]
MobileNetV4 - Universal Models for the Mobile Ecosystem
2024Danfeng Qin, Chas Leichner et al.
[18]
PQ-SAM: Post-training Quantization for Segment Anything Model
2024Xiaoyu Liu, Xin Ding et al.
[19]
TinySAM: Pushing the Envelope for Efficient Segment Anything Model
2023Han Shu, Wenshuo Li et al.
[20]
MobileSAMv2: Faster Segment Anything to Everything
2023Chaoning Zhang, Dongshen Han et al.

Showing 20 of 48 references

Founder's Pitch

"PicoSAM3 is a lightweight, real-time visual segmentation model optimized for edge devices, enabling efficient on-device processing."

Computer VisionScore: 8View PDF ↗

Commercial Viability Breakdown

0-10 scale

High Potential

2/4 signals

5

Quick Build

3/4 signals

7.5

Series A Potential

3/4 signals

7.5

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