Distribution Matching for Crowd Counting Supplementary Material
–Neural Information Processing Systems
DM-Count and investigate the robustness of different methods to noisy annotations. Assume for all x D and g G we have |g ( x) | B . We propose the following five lemmas which are essential for proving the proposed theorems. Lemmas A, B, C and D give the Lipschitz constants of different loss functions. Consider the dual form of Eq. (15) W ( µ, ν) = max α The first inequality in Eq. (20) is achieved because The second equality in Eq. (20) is achieved because We restate Theorem 1 in the main paper below.
Neural Information Processing Systems
Oct-2-2025, 02:50:44 GMT
- Country:
- Asia > China
- Europe > United Kingdom
- England > Cambridgeshire > Cambridge (0.04)
- North America
- Canada (0.04)
- United States > New York
- Suffolk County > Stony Brook (0.04)
- Technology: