
Neecko
@swisscaster
128 Following
10 Followers

My feeling is that it kinda has been for the past few years, and just doesn't seem to stop -- increasingly there is an on-going convergence of CV with General AI/ML - you saw it initially when CNNs blew every conventional computer vision methods (feature extraction, feature matching) with CNNs like AlexNet, Yolo, etc. Now with ViT vision transformers, and VLMs and the like. SAM (segment anything) is pretty amazing
That being said, edge perception stuff in the context of robotics, devices, AR/VR, and devices in general -- CV continues to be relevant. TinyML, perception models that are energy efficient and work on the edge GPU that it's meant to run on - prob a lot more work to do here, but if you look at companies like ST and TI, all they are making are MCUs that can run ML on it, so...
Also I am excited about 3D Gaussian splatting in the same way that I was excited aobut NeRFs, but 3D Gaussian splatting is a lot more efficient than NeRF - it can handle a lot more, order of magnitude more FPS. So that's cool 4 replies
3 recasts
38 reactions
1 reply
16 recasts
9 reactions
4 replies
7 recasts
27 reactions
4 replies
20 recasts
62 reactions
33 replies
1280 recasts
898 reactions
19 replies
60 recasts
184 reactions
1 reply
0 recast
13 reactions
5 replies
3 recasts
42 reactions
0 reply
1 recast
8 reactions
2 replies
4 recasts
40 reactions
7 replies
44 recasts
131 reactions
3 replies
9 recasts
86 reactions
11 replies
10 recasts
63 reactions
4 replies
6 recasts
34 reactions
88 replies
42 recasts
116 reactions
2 replies
2 recasts
11 reactions
0 reply
10 recasts
32 reactions
6 replies
9 recasts
29 reactions
3 replies
10 recasts
65 reactions
154 replies
423 recasts
1186 reactions